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Lattice model (finance)

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997:, as well as a corresponding restriction on the "drift coefficients" of the forward rates. These, in turn, are functions of the volatility(s) of the forward rates. A "simple" discretized expression for the drift then allows for forward rates to be expressed in a binomial lattice. For these forward rate-based models, dependent on volatility assumptions, the lattice might not recombine. (This means that an "up-move" followed by a "down-move" will not give the same result as a "down-move" followed by an "up-move".) In this case, the Lattice is sometimes referred to as a "bush", and the number of nodes grows exponentially as a function of number of time-steps. A recombining binomial tree methodology is also available for the Libor Market Model. 1223:(CBs) the approach of Tsiveriotis and Fernandes (1998) is to divide the value of the bond at each node into an "equity" component, arising from situations where the CB will be converted, and a "debt" component, arising from situations where CB is redeemed. Correspondingly, twin trees are constructed where discounting is at the risk free and credit risk adjusted rate respectively, with the sum being the value of the CB. There are other methods, which similarly combine an equity-type tree with a short-rate tree. An alternate approach, originally published by 20: 31: 1208:. To accommodate this in the lattice framework, the OIS rate and the relevant LIBOR rate are jointly modeled in a three-dimensional tree, constructed such that LIBOR swap rates are matched. With the zeroeth step thus accomplished, the valuation will proceed largely as previously, using steps 1 and onwards, but here with cashflows based on the LIBOR "dimension", and discounting using the corresponding nodes from the OIS "dimension". 3354: 856:. This approach is useful when the underlying's behavior departs (markedly) from normality. A related use is to calibrate the tree to the volatility smile (or surface), by a "judicious choice" of parameter values—priced here, options with differing strikes will return differing implied volatilities. For pricing American options, an 764:, sensitivity to time, is likewise estimated given the option price at the first node in the tree and the option price for the same spot in a later time step. (Second time step for trinomial, third for binomial. Depending on method, if the "down factor" is not the inverse of the "up factor", this method will not be precise.) For 823:
As regards the construction, for an R-IBT the first step is to recover the "Implied Ending Risk-Neutral Probabilities" of spot prices. Then by the assumption that all paths which lead to the same ending node have the same risk-neutral probability, a "path probability" is attached to each ending node.
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can be constructed. Here, the tree is solved such that it successfully reproduces selected (all) market prices, across various strikes and expirations. These trees thus "ensure that all European standard options (with strikes and maturities coinciding with the tree nodes) will have theoretical values
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over the time-step, and option valuation is then based on the value of the share at the up-, down- and middle-nodes in the later time-step. As for the binomial, a similar (although smaller) range of methods exist. The trinomial model is considered to produce more accurate results than the binomial
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In these cases the valuation is largely as above, but requires an additional, zeroeth, step of constructing an interest rate tree, on which the price of the underlying is then based. The next step also differs: the underlying price here is built via "backward induction" i.e. flows backwards from
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corresponding to each node in the tree, such that these are consistent with observed option prices (i.e. with the volatility surface). Thereafter the up-, down- and middle-probabilities are found for each node such that: these sum to 1; spot prices adjacent time-step-wise evolve risk neutrally,
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in the construction relative to equity implied trees: for interest rates, the volatility is known for each time-step, and the node-values (i.e. interest rates) must be solved for specified risk neutral probabilities; for equity, on the other hand, a single volatility cannot be specified per
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on the bond price and / or the option price there before stepping-backwards one time-step. (And noting that these options are not mutually exclusive, and so a bond may have several options embedded; hybrid securities are treated below.) For other,
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maturity, accumulating the present value of scheduled cash flows at each node, as opposed to flowing forwards from valuation date as above. The final step, option valuation, then proceeds as standard. See top for graphic, and aside for description.
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which match their market prices". Using the calibrated lattice one can then price options with strike / maturity combinations not quoted in the market, such that these prices are consistent with observed volatility patterns. There exist both
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are often modeled using a lattice framework, though with modified assumptions. In each of these cases, a third step is to determine whether the option is to be exercised or held, and to then apply this value at the node in question. Some
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Once calibrated, the interest rate lattice is then used in the valuation of various of the fixed income instruments and derivatives. The approach for bond options is described aside—note that this approach addresses the problem of
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Thereafter "it's as simple as One-Two-Three", and a three step backwards recursion allows for the node probabilities to be recovered for each time step. Option valuation then proceeds as standard, with these substituted for
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observed market prices. The tree is then built as a function of these parameters. In the latter case, the calibration is directly on the lattice: the fit is to both the current term structure of interest rates (i.e. the
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The calculation of "Greeks" for interest rate derivatives proceeds as for equity. There is however an additional requirement, particularly for hybrid securities: that is, to estimate sensitivities related to
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for bonds in step 1, and swaptions for bond options in step 2. For caps (and floors) step 1 and 2 are combined: at each node the value is based on the relevant nodes at the later step, plus, for any caplet
717:. Further enhancements are designed to achieve stability relative to Black-Scholes as the number of time-steps changes. More recent models, in fact, are designed around direct convergence to Black-Scholes. 837:; state prices similarly "grow" at the risk free rate. (The solution here is iterative per time step as opposed to simultaneous.) As for R-IBTs, option valuation is then by standard backward recursion. 860:-generated ending distribution may be combined with an R-IBT. This approach is limited as to the set of skewness and kurtosis pairs for which valid distributions are available. The more recent 337: 1990: 693:(CRR) in 1979; see diagram for formulae. Over 20 other methods have been developed, with each "derived under a variety of assumptions" as regards the development of the underlying's price. 1080:
The volatility structure—i.e. vertical node-spacing—here reflects the volatility of rates during the quarter, or other period, corresponding to the lattice time-step. (Some analysts use "
909:(or $ 1), plus coupon (in cents) if relevant; if the bond-date and tree-date do not coincide, these are then discounted to the start of the time-step using the node-specific short-rate; 1246:
on the firm: where the value of the firm is less than the value of the outstanding debt shareholders would choose not to repay the firm's debt; they would choose to repay—and not to
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Grant, Dwight M.; Vora, Gautam (26 February 2009). "Implementing No-Arbitrage Term Structure of Interest Rate Models in Discrete Time When Interest Rates Are Normally Distributed".
812:(DKC; superseding the DK-IBT). The former is easier built, but is consistent with one maturity only; the latter will be consistent with, but at the same time requires, known (or 261: 1177:
by building a corresponding DKC tree (based on every second time-step in the CRR tree: as DKC is trinomial whereas CRR is binomial) and then using this for option valuation.
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at earlier nodes, value is a function of the expected value of the option at the nodes in the later time step, discounted at the short-rate of the current node; where
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For equity and commodities the application is as follows. The first step is to trace the evolution of the option's key underlying variable(s), starting with today's
391: 364: 1227:(1994), does not decouple the components, rather, discounting is at a conversion-probability-weighted risk-free and risky interest rate within a single tree. See 1769: 760:, being sensitivities of option value w.r.t. price, are approximated given differences between option prices - with their related spot - in the same time step. 171: 151: 3191: 1116:
time-step, i.e. we have a "smile", and the tree is built by solving for the probabilities corresponding to specified values of the underlying at each node.
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to the model. In the former case, the approach is to "calibrate" the model parameters, such that bond prices produced by the model, in its continuous form,
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with constant volatility is usually assumed. The next step is to value the option recursively: stepping backwards from the final time-step, where we have
2337: 111: 24: 1871: 1453: 737:, as the number of steps increases, the results rapidly converge, and the binomial model is then preferred due to its simpler implementation. For 411: 1169:(YTM), employs modified equity-lattice methods. Here the analyst builds a CRR tree of YTM, applying a constant volatility assumption, and then 875:, multinomial lattices can be built, although the number of nodes increases exponentially with the number of underlyers. As an alternative, 2897: 2472: 2012: 1345:
Cox, J. C., Ross, S. A., & Rubinstein, M. (1979). Option pricing: A simplified approach. Journal of financial Economics, 7(3), 229–263.
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0. Construct an interest-rate tree, which, as described in the text, will be consistent with the current term structure of interest rates.
1656: 1418: 1490: 1137:) maturing in the time-step, the difference between its reference-rate and the short-rate at the node (and reflecting the corresponding 701:, and hence produce the "same" option price as Black-Scholes: to achieve this, these will variously seek to agree with the underlying's 2902: 1603: 1363: 919:
of nodes in the later time step, plus coupon payments during the current time step, similarly discounted to the start of the time-step.
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at each final node of the tree—i.e. at expiration of the option—the option value is simply its intrinsic, or exercise, value;
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model when fewer time steps are modelled, and is therefore used when computational speed or resources may be an issue. For
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are introduced. Here, similar to rho and vega above, the interest rate tree is rebuilt for an upward and then downward
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2. Construct a corresponding bond-option tree, where the option on the bond is valued largely as for an equity option:
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at each node; and applying risk neutral valuation at each earlier node, where option value is the probability-weighted
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lattices are additionally useful in that they address many of the issues encountered with continuous models, such as
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is required at "all" times (any time) before and including maturity. A continuous model, on the other hand, such as
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fail to account for optimal decisions to terminate the derivative by early exercise, though methods now exist for
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do not consider how changes in interest rates will alter the cash flows due to option exercise. To address this,
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Valuation in a World of CVA, DVA, and FVA: A Tutorial on Debt Securities and Interest Rate Derivatives
1170: 3404: 3173: 2984: 2133: 1254:)—otherwise. Lattice models have been developed for equity analysis here, particularly as relates to 955: 741:
the trinomial model (or adaptations) is sometimes more stable and accurate, regardless of step-size.
619: 176: 91: 2109: 1900: 1620: 3292: 3287: 1926: 1054: 857: 686: 576: + 1 is captured in a branch. This process is iterated until every possible path between 2062: 3242: 2942: 2887: 2770: 2611: 2543: 1967: 1821: 1430: 1058: 865: 710: 698: 612: 79: 2265: 2019: 1000:
As regards the short-rate models, these are, in turn, further categorized: these will be either
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at each node; prices here are thus pulling-to-par. The second step is to then incorporate any
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a third step would be required: at each node in the time-step incorporate the effect of the
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value is the greater of this and the exercise value given the corresponding equity value.
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A Binomial Lattice Method for Pricing Corporate Debt and Modeling Chapter 11 Proceedings
1621:"Wiley: Advanced Modelling in Finance using Excel and VBA - Mary Jackson, Mike Staunton" 1323: 769: 3262: 3247: 3216: 3201: 3168: 3034: 2825: 2790: 2553: 2518: 2481: 1802: 1291: 1251: 1174: 1138: 1096: 979: 938:
value is the greater of this and the exercise value given the corresponding bond value.
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In general the approach is to divide time between now and the option's expiration into
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Hull, J. C. (2006). Options, futures, and other derivatives. Pearson Education India.
1303: 1279: 1259: 1220: 1219:, incorporating both equity- and bond-like features are also valued using trees. For 1166: 1092: 405: 1983:"Description of Tree Model for the Valuation of a Convertible Bond with Credit Risk" 3148: 3087: 3082: 3064: 2994: 2760: 2755: 2727: 2679: 2558: 2498: 2385: 2129: 2058: 1794: 1688: 1239: 1050: 1049:. Here, calibration means that the interest-rate-tree reproduces the prices of the 1017: 990: 971: 963: 947: 853: 817: 780: 745: 1380: 3358: 3328: 3323: 3277: 3113: 3108: 3054: 2964: 2872: 2845: 2785: 2780: 2750: 2699: 2684: 2601: 2581: 2359: 1773: 1503: 1457: 1367: 1275: 1216: 1201: 1150: 797: 776:, the estimated time to exercise, which is typically calculated using a lattice. 690: 663: 646: 638: 615: 568: + 1 such that every possible change in the state of the world between 103: 83: 71: 35: 19: 1360:
A Synthesis of Binomial Option Pricing Models for Lognormally Distributed Assets
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An alternative approach to modeling (American) bond options, particularly those
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Efficient procedures for valuing European and American path-dependent options
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for the time-step; to be market-consistent, analysts generally prefer to use
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Method for evaluating stock options that divides time into discrete intervals
2217: 1798: 1469: 537:{\displaystyle C_{t-\Delta t,i}=e^{-r\Delta t}(pC_{t,i+1}+(1-p)C_{t,i-1})\,} 3133: 2907: 2835: 2815: 2775: 2644: 2616: 2606: 2548: 1847: 1397: 1162: 1146: 975: 935: 813: 725: 545: 67: 1192:", whereas previously it was off a single, "self discounting", curve; see 674:
would be preferred. (Although, tree-based methods have been developed. )
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Efficient Calibration of Trinomial Trees for One-Factor Short Rate Models
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As stated above, the lattice approach is particularly useful in valuing
3338: 2974: 2969: 2735: 2621: 1550: 1263: 1066: 1065:(such as Ho-Lee), calibration may be performed analytically, while for 1057:; note the parallel to the implied trees for equity above, and compare 906: 898: 872: 706: 604: 1032:
from the model, while for arbitrage-free models the yield curve is an
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Pricing Interest Rate-dependent Financial Claims with Option Features
1247: 928: 1504:"Option Pricing & Stock Price Probability Calculators - Hoadley" 1470:
On the Relation Between Binomial and Trinomial Option Pricing Models
1111:.) Given this functional link to volatility, note now the resultant 3098: 2820: 2717: 2538: 2390:
Stochastic Calculus for Finance I: The Binomial Asset Pricing Model
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The Libor Market Model: A Recombining Binomial Tree Methodology
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where the sensitivities are calculated using finite differences
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The Convergence of Binomial Trees for Pricing the American Put
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Tree methods in finance, Encyclopedia of Quantitative Finance
1197: 1128:. For swaptions the logic is almost identical, substituting 773: 897:
1. Construct a corresponding tree of bond-prices, where the
2240: 2215: 2192: 1053:—and any other interest-rate sensitive securities—used in 868:, as this is capable of accommodating all possible pairs. 133:
Either forward-construct, applying an up or down factor (
681:; the standard ("canonical") method is that proposed by 1540:. Goldman Sachs, Quantitative Strategies Research Notes 1024:). This distinction: for equilibrium-based models the 901:
bond is valued at each node by "backwards induction":
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until a fair value of the option today is calculated.
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The initial lattice is built by discretizing either a
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of the up- and down-nodes in the later time-step. See
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is mapped. Probabilities are then estimated for every
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Valuation of Interest-Sensitive Financial Instruments
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calculates the bond price as a function of this yield
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Valuation of fixed income securities and derivatives
1872:"Calibrating the Ornstein-Uhlenbeck (Vasicek) model" 1585:
Jim Clark, Les Clewlow and Chris Strickland (2008).
564:, the model has a finite number of outcomes at time 266:
or given that the tree is recombining, directly via
1536:Emanuel Derman, Iraj Kani, and Neil Chriss (1996). 117: 2010: 1846:S. Derrick, D. Stapleton and R. Stapleton (2005). 1381:Simple, Fast and Flexible Pricing of Asian Options 536: 385: 358: 331: 255: 207: 165: 145: 2336: 1587:Calibrating trees to the market prices of options 332:{\displaystyle S_{n}=S_{0}\times u^{N_{u}-N_{d}}} 3371: 2342:Applied Derivatives: Options, Futures, and Swaps 1669:: CS1 maint: bot: original URL status unknown ( 1266:proceedings has also been modelled via lattice. 2406: 2358: 2173: 1752:, Ch 11. in Rendleman (2002), per Bibliography. 1654: 1538:Implied Trinomial Trees of the Volatility Smile 1306:given the corresponding changes in bond value. 1194:Interest rate swap § Valuation and pricing 1126:Black–Scholes model § Valuing bond options 1073:; see for example, the boxed-description under 544:, p being the probability of an up move; where 2195:Valuation of Interest Rate Swaps and Swaptions 2150:Journal of Financial and Quantitative Analysis 1745: 1743: 1741: 1124:experienced under closed form approaches; see 632:Rational pricing § Risk neutral valuation 98:. The method is also used for valuing certain 2466: 2384: 2316:The Complete Guide to Option Pricing Formulas 2287: 1659:. Archived from the original on 22 June 2007. 1109:Interest rate cap § Implied Volatilities 598:probabilities flow backwards through the tree 1963:"Valuing Convertible Bonds with Credit Risk" 1767:The Heath-Jarrow-Morton Term Structure Model 1522:Calculating the Greeks in the Binomial Model 882: 828:. For DKC, the first step is to recover the 628:Binomial options pricing model § Method 397:2. Construct the corresponding option tree: 2216:Gerald Buetow & James Sochacki (2001). 1738: 1419:African Institute for Mathematical Sciences 728:in 1986. Here, the share price may remain 2473: 2459: 2313: 2219:Term-Structure Models Using Binomial Trees 2110:"Not Found - Business Valuation Resources" 1819: 748:can be estimated directly on the lattice, 666:, are also easily modeled here; for other 2263: 1784: 1569:The Volatility Smile and Its Implied Tree 1204:in question, while discounting is at the 1196:. Here, payoffs are set as a function of 905:at its final nodes, bond value is simply 533: 129:1. Construct the tree of equity-prices: 2134:Option Pricing Applications in Valuation 2048:Valuing Convertible Bonds as Derivatives 2018:. Journal of Derivatives. Archived from 1901:"embedded option, thefreedictionary.com" 1353: 1351: 1322:Staff, Investopedia (17 November 2010). 779:When it is important to incorporate the 82:, would only allow for the valuation of 70:, a typical example would be pricing an 29: 18: 3298:Power reverse dual-currency note (PRDC) 3238:Constant proportion portfolio insurance 2178:(1st ed.). John Wiley & Sons. 1445: 1443: 560:discrete periods. At the specific time 3372: 2480: 2241:Les Clewlow; Chris Strickland (1998). 1532: 1530: 1274:in interest rates. For a bond with an 946:Lattices are commonly used in valuing 927:at option maturity, value is based on 596: + 1 path. The outcomes and 108:Monte Carlo methods for option pricing 2454: 2193:Gerald Buetow; Frank Fabozzi (2000). 1980: 1721:Mathematica in Education and Research 1593:, August 2008. (Archived, 2015-06-30) 1566:Emanuel Derman and Iraj Kani (1994). 1491:Pricing Options Using Trinomial Trees 1370:. Journal of Applied Finance, Vol. 18 1348: 1321: 1156:more exotic interest rate derivatives 768:, sensitivity to interest rates, and 3233:Collateralized debt obligation (CDO) 2144:Mark Broadie and Ozgur Kaya (2007). 1655:Mark Rubinstein (January 15, 1995). 1440: 1211: 1141:and notional-value exchanged). For 2222:. The Research Foundation of AIMR ( 1820:Rubinstein, Mark (1 January 1999). 1527: 634:for logic and formulae derivation. 611:is consistent with its volatility; 126:Tree-based equity option valuation: 13: 1961:Tsiveriotis and Fernandes (1998). 1732:M. Leippold and Z. Wiener (2003). 1715:S. Benninga and Z. Wiener. (1998). 720:A variant on the Binomial, is the 677:The simplest lattice model is the 454: 426: 23:Binomial Lattice for equity, with 14: 3416: 2344:(1st ed.). Wiley-Blackwell. 1685:Pricing Basket Options with Smile 1396:John Hull and Alan White. (1993) 1300:parallel shift in the yield curve 1229:Convertible bond § Valuation 891:Tree-based bond option valuation: 866:Johnson "family" of distributions 256:{\displaystyle S_{down}=S\cdot d} 3352: 1936:Multi-Curve Modeling Using Trees 1385:Journal of Computational Finance 1084:", i.e. of the rates applicable 1069:models the calibration is via a 931:for all nodes in that time-step; 912:at each earlier node, it is the 118:Equity and commodity derivatives 2167: 2161:See Fabozzi under Bibliography. 2155: 2138: 2123: 2102: 2067: 2052: 2037: 2004: 1974: 1955: 1941: 1920: 1907: 1893: 1864: 1852: 1840: 1813: 1778: 1755: 1726: 1709: 1693: 1677: 1648: 1631: 1613: 1596: 1579: 1560: 1543: 1514: 1496: 1479: 1462: 844:allow for an analyst-specified 208:{\displaystyle S_{up}=S\cdot u} 3060:Year-on-year inflation-indexed 2243:Implementing Derivative Models 1717:Binomial Term Structure Models 1429:Prof. Markus K. Brunnermeier. 1423: 1407: 1390: 1373: 1339: 1330: 1315: 995:martingale probability measure 679:binomial options pricing model 641:, where the choice whether to 530: 505: 493: 462: 366:is the number of up ticks and 58:is a technique applied to the 1: 3070:Zero-coupon inflation-indexed 1701:Term Structure Lattice Models 1415:Pricing in the Binomial Model 1309: 1915:American Bond Option Pricing 1645:, Volume 11, Pages 1165-1176 1175:term structure of volatility 1055:constructing the yield curve 993:implies that there exists a 886: 630:for more detail, as well as 393:is the number of down ticks. 121: 7: 3273:Foreign exchange derivative 2665:Callable bull/bear contract 1949:"Pricing Convertible Bonds" 1787:The Journal of Fixed Income 1233:Contingent convertible bond 852:in spot price returns; see 86:, where exercise is on the 10: 3421: 2433:Binomial Models in Finance 1763:Louisiana State University 1637:Jean-Guy Simonato (2011). 1476:, Winter 2000, 8 (2) 47-50 1474:The Journal of Derivatives 1431:Multi-period Model Options 1357:Chance, Don M. March 2008 1182:2007–2008 financial crisis 1103:-prices of each component 978:-based model, such as the 3347: 3306: 3225: 3182: 3174:Stock market index future 3078: 2955: 2863: 2726: 2635: 2572: 2506: 2497: 2488: 2364:Rubinstein On Derivatives 2063:Valuing Firms in Distress 1860:Interest Rate Derivatives 1836:– via Google Books. 1823:Rubinstein on Derivatives 1045:), and the corresponding 991:condition of no arbitrage 956:interest rate derivatives 883:Interest rate derivatives 643:exercise the option early 92:interest rate derivatives 74:, where a decision as to 3293:Mortgage-backed security 3288:Interest rate derivative 3263:Equity-linked note (ELN) 3248:Credit-linked note (CLN) 2426:John van der Hoek & 2407:Donald J. Smith (2017). 2174:David F. Babbel (1996). 2011:D. R. Chambers, Qin Lu. 1858:Dr. Graeme West (2010). 1683:Isabel Ehrlich (2012). 1604:Edgeworth Binomial Trees 1602:Mark Rubinstein (1998). 1549:Mark Rubinstein (1994). 1468:Mark Rubinstein (2000). 1379:Timothy Klassen. (2001) 1188:is (generally) under a " 1061:. For models assuming a 842:Edgeworth binomial trees 406:value is via expectation 60:valuation of derivatives 3400:Trees (data structures) 3243:Contract for difference 2544:Risk-free interest rate 2264:Rama Cont, ed. (2010). 1968:Journal of Fixed Income 1799:10.3905/jfi.1999.319247 1493:. University of Warwick 1413:Ronnie Becker. (N.D.). 1302:and these measures are 1059:Bootstrapping (finance) 802:implied trinomial trees 699:Log-normal distribution 649:. For similar reasons, 66:model is required. For 3025:Forward Rate Agreement 1639:Johnson binomial trees 1608:Journal of Derivatives 1551:Implied Binomial Trees 1449:Mark s. Joshi (2008). 1402:Journal of Derivatives 1304:calculated numerically 1282:based calculations of 1075:Black–Derman–Toy model 1071:root-finding algorithm 862:Johnson binomial trees 794:implied binomial trees 715:as measured discretely 668:Path-Dependent Options 655:employee stock options 538: 387: 360: 333: 257: 209: 167: 147: 88:option's maturity date 47: 27: 3395:Models of computation 3253:Credit default option 2597:Employee stock option 1987:University of Waikato 1699:Martin Haugh (2010). 1387:, 4 (3) 89-124 (2001) 1324:"Lattice-Based Model" 1252:exercise their option 1190:multi-curve framework 539: 388: 386:{\displaystyle N_{d}} 361: 359:{\displaystyle N_{u}} 334: 258: 210: 168: 148: 33: 22: 3390:Mathematical finance 3207:Inflation derivative 3192:Commodity derivative 3164:Single-stock futures 3154:Normal backwardation 3144:Interest rate future 2985:Conditional variance 2491:Derivative (finance) 2411:. World Scientific. 1913:Riskworx (c. 2000). 1643:Quantitative Finance 1435:Princeton University 1047:volatility structure 412: 370: 343: 270: 219: 177: 157: 137: 112:solving this problem 3359:Business portal 3212:Property derivative 2314:Espen Haug (2006). 2117:www.bvresources.com 1705:Columbia University 1520:Don Chance. (2010) 1242:can be viewed as a 1082:realized volatility 1063:normal distribution 840:As an alternative, 713:at each time-step, 102:, where because of 3217:Weather derivative 3202:Freight derivative 3184:Exotic derivatives 3104:Commodities future 2791:Intermarket spread 2554:Synthetic position 2482:Derivatives market 1772:2015-09-23 at the 1761:Prof. Don Chance, 1555:Journal of Finance 1456:2015-07-02 at the 1366:2016-03-04 at the 1292:effective duration 1139:day count fraction 1097:implied volatility 980:LIBOR market model 800:IBTs (R-IBT), and 534: 404:at earlier nodes, 383: 356: 329: 253: 205: 163: 143: 48: 28: 3385:Short-rate models 3380:Options (finance) 3367: 3366: 3268:Equity derivative 3258:Credit derivative 3226:Other derivatives 3197:Energy derivative 3159:Perpetual futures 3040:Overnight indexed 2990:Constant maturity 2951: 2950: 2898:Finite difference 2831:Protective option 2443:978-0-387-25898-0 2428:Robert J. Elliott 2351:978-0-631-21590-5 2338:Richard Rendleman 2329:978-0-07-138997-6 2306:978-1-883249-25-0 2280:978-0-470-05756-8 2256:978-0-471-96651-7 2233:978-0-943205-53-3 1657:"Rainbow Options" 1572:. Research Note, 1280:yield to maturity 1260:limited liability 1221:convertible bonds 1217:Hybrid securities 1212:Hybrid securities 1167:yield to maturity 1093:interest rate cap 1051:zero-coupon bonds 1002:equilibrium-based 944: 943: 607:, such that this 554: 553: 166:{\displaystyle d} 146:{\displaystyle u} 3412: 3405:Financial models 3357: 3356: 3129:Forwards pricing 2903:Garman–Kohlhagen 2504: 2503: 2475: 2468: 2461: 2452: 2451: 2447: 2422: 2403: 2381: 2366:(1st ed.). 2355: 2333: 2310: 2295:(3rd ed.). 2284: 2272: 2260: 2237: 2212: 2189: 2162: 2159: 2153: 2152:, Vol. 42, No. 2 2142: 2136: 2130:Aswath Damodaran 2127: 2121: 2120: 2114: 2106: 2100: 2099: 2097: 2096: 2090: 2084:. Archived from 2083: 2071: 2065: 2059:Aswath Damodaran 2056: 2050: 2041: 2035: 2034: 2032: 2030: 2024: 2017: 2008: 2002: 2001: 1999: 1998: 1989:. Archived from 1978: 1972: 1959: 1953: 1952: 1945: 1939: 1924: 1918: 1911: 1905: 1904: 1897: 1891: 1890: 1888: 1887: 1878:. Archived from 1868: 1862: 1856: 1850: 1844: 1838: 1837: 1817: 1811: 1810: 1782: 1776: 1759: 1753: 1747: 1736: 1730: 1724: 1713: 1707: 1697: 1691: 1689:Imperial College 1681: 1675: 1674: 1668: 1660: 1652: 1646: 1635: 1629: 1628: 1617: 1611: 1600: 1594: 1583: 1577: 1564: 1558: 1547: 1541: 1534: 1525: 1518: 1512: 1511: 1500: 1494: 1483: 1477: 1466: 1460: 1447: 1438: 1427: 1421: 1411: 1405: 1394: 1388: 1377: 1371: 1355: 1346: 1343: 1337: 1334: 1328: 1327: 1319: 1256:distressed firms 1238:More generally, 1200:specific to the 1095:prices, and the 972:Black Derman Toy 964:short-rate model 887: 854:Edgeworth series 818:local volatility 781:volatility smile 647:Bermudan options 639:American options 543: 541: 540: 535: 529: 528: 489: 488: 461: 460: 439: 438: 392: 390: 389: 384: 382: 381: 365: 363: 362: 357: 355: 354: 338: 336: 335: 330: 328: 327: 326: 325: 313: 312: 295: 294: 282: 281: 262: 260: 259: 254: 240: 239: 214: 212: 211: 206: 192: 191: 172: 170: 169: 164: 152: 150: 149: 144: 122: 84:European options 3420: 3419: 3415: 3414: 3413: 3411: 3410: 3409: 3370: 3369: 3368: 3363: 3351: 3343: 3329:Great Recession 3324:Government debt 3302: 3278:Fund derivative 3221: 3178: 3139:Futures pricing 3114:Dividend future 3109:Currency future 3092: 3074: 2947: 2923:Put–call parity 2859: 2846:Vertical spread 2781:Diagonal spread 2751:Calendar spread 2722: 2631: 2568: 2493: 2484: 2479: 2444: 2419: 2400: 2378: 2360:Mark Rubinstein 2352: 2330: 2307: 2281: 2270: 2257: 2234: 2209: 2186: 2170: 2165: 2160: 2156: 2143: 2139: 2128: 2124: 2112: 2108: 2107: 2103: 2094: 2092: 2088: 2081: 2077: 2072: 2068: 2057: 2053: 2042: 2038: 2028: 2026: 2022: 2015: 2009: 2005: 1996: 1994: 1979: 1975: 1960: 1956: 1947: 1946: 1942: 1925: 1921: 1912: 1908: 1899: 1898: 1894: 1885: 1883: 1870: 1869: 1865: 1857: 1853: 1845: 1841: 1834: 1818: 1814: 1783: 1779: 1774:Wayback Machine 1760: 1756: 1748: 1739: 1731: 1727: 1714: 1710: 1698: 1694: 1682: 1678: 1662: 1661: 1653: 1649: 1636: 1632: 1619: 1618: 1614: 1601: 1597: 1584: 1580: 1565: 1561: 1548: 1544: 1535: 1528: 1519: 1515: 1508:www.hoadley.net 1502: 1501: 1497: 1484: 1480: 1467: 1463: 1458:Wayback Machine 1448: 1441: 1428: 1424: 1412: 1408: 1395: 1391: 1378: 1374: 1368:Wayback Machine 1356: 1349: 1344: 1340: 1335: 1331: 1320: 1316: 1312: 1278:, the standard 1276:embedded option 1272:overall changes 1214: 1151:embedded option 989:Under HJM, the 885: 744:Various of the 735:vanilla options 724:, developed by 703:central moments 664:barrier options 616:Brownian motion 512: 508: 472: 468: 447: 443: 419: 415: 413: 410: 409: 377: 373: 371: 368: 367: 350: 346: 344: 341: 340: 321: 317: 308: 304: 303: 299: 290: 286: 277: 273: 271: 268: 267: 226: 222: 220: 217: 216: 184: 180: 178: 175: 174: 158: 155: 154: 138: 135: 134: 120: 106:in the payoff, 104:path dependence 76:option exercise 72:American option 17: 12: 11: 5: 3418: 3408: 3407: 3402: 3397: 3392: 3387: 3382: 3365: 3364: 3362: 3361: 3348: 3345: 3344: 3342: 3341: 3336: 3334:Municipal debt 3331: 3326: 3321: 3319:Corporate debt 3316: 3310: 3308: 3304: 3303: 3301: 3300: 3295: 3290: 3285: 3280: 3275: 3270: 3265: 3260: 3255: 3250: 3245: 3240: 3235: 3229: 3227: 3223: 3222: 3220: 3219: 3214: 3209: 3204: 3199: 3194: 3188: 3186: 3180: 3179: 3177: 3176: 3171: 3166: 3161: 3156: 3151: 3146: 3141: 3136: 3131: 3126: 3121: 3119:Forward market 3116: 3111: 3106: 3101: 3095: 3093: 3091: 3090: 3085: 3079: 3076: 3075: 3073: 3072: 3067: 3062: 3057: 3052: 3047: 3042: 3037: 3032: 3027: 3022: 3017: 3012: 3007: 3002: 3000:Credit default 2997: 2992: 2987: 2982: 2977: 2972: 2967: 2961: 2959: 2953: 2952: 2949: 2948: 2946: 2945: 2940: 2935: 2930: 2925: 2920: 2915: 2910: 2905: 2900: 2895: 2885: 2880: 2875: 2869: 2867: 2861: 2860: 2858: 2857: 2843: 2838: 2833: 2828: 2823: 2818: 2813: 2808: 2803: 2798: 2796:Iron butterfly 2793: 2788: 2783: 2778: 2773: 2768: 2766:Covered option 2763: 2758: 2753: 2748: 2743: 2738: 2732: 2730: 2724: 2723: 2721: 2720: 2715: 2710: 2705: 2704:Mountain range 2702: 2697: 2692: 2687: 2682: 2677: 2672: 2667: 2662: 2657: 2652: 2647: 2641: 2639: 2633: 2632: 2630: 2629: 2624: 2619: 2614: 2609: 2604: 2599: 2594: 2589: 2584: 2578: 2576: 2570: 2569: 2567: 2566: 2561: 2556: 2551: 2546: 2541: 2536: 2531: 2526: 2521: 2516: 2510: 2508: 2501: 2495: 2494: 2489: 2486: 2485: 2478: 2477: 2470: 2463: 2455: 2449: 2448: 2442: 2423: 2418:978-9813222748 2417: 2404: 2399:978-0387249681 2398: 2382: 2377:978-1899332533 2376: 2356: 2350: 2334: 2328: 2311: 2305: 2285: 2279: 2261: 2255: 2245:. New Jersey: 2238: 2232: 2213: 2208:978-1883249892 2207: 2190: 2185:978-1883249151 2184: 2169: 2166: 2164: 2163: 2154: 2137: 2122: 2101: 2074:Grant Thornton 2066: 2051: 2036: 2003: 1973: 1954: 1940: 1919: 1917:, riskworx.com 1906: 1892: 1863: 1851: 1839: 1832: 1826:. Risk Books. 1812: 1777: 1754: 1737: 1725: 1708: 1692: 1676: 1647: 1630: 1612: 1610:, Spring 1998. 1595: 1578: 1559: 1542: 1526: 1513: 1495: 1478: 1461: 1439: 1422: 1406: 1389: 1372: 1347: 1338: 1329: 1313: 1311: 1308: 1262:and potential 1213: 1210: 1014:arbitrage-free 942: 941: 940: 939: 932: 921: 920: 917:expected value 910: 884: 881: 877:Basket options 835:dividend yield 833:incorporating 739:exotic options 722:Trinomial tree 660:exotic options 620:exercise value 552: 551: 550: 549: 532: 527: 524: 521: 518: 515: 511: 507: 504: 501: 498: 495: 492: 487: 484: 481: 478: 475: 471: 467: 464: 459: 456: 453: 450: 446: 442: 437: 434: 431: 428: 425: 422: 418: 402: 395: 394: 380: 376: 353: 349: 324: 320: 316: 311: 307: 302: 298: 293: 289: 285: 280: 276: 264: 252: 249: 246: 243: 238: 235: 232: 229: 225: 204: 201: 198: 195: 190: 187: 183: 162: 142: 119: 116: 100:exotic options 68:equity options 42:returning the 15: 9: 6: 4: 3: 2: 3417: 3406: 3403: 3401: 3398: 3396: 3393: 3391: 3388: 3386: 3383: 3381: 3378: 3377: 3375: 3360: 3355: 3350: 3349: 3346: 3340: 3337: 3335: 3332: 3330: 3327: 3325: 3322: 3320: 3317: 3315: 3314:Consumer debt 3312: 3311: 3309: 3307:Market issues 3305: 3299: 3296: 3294: 3291: 3289: 3286: 3284: 3283:Fund of funds 3281: 3279: 3276: 3274: 3271: 3269: 3266: 3264: 3261: 3259: 3256: 3254: 3251: 3249: 3246: 3244: 3241: 3239: 3236: 3234: 3231: 3230: 3228: 3224: 3218: 3215: 3213: 3210: 3208: 3205: 3203: 3200: 3198: 3195: 3193: 3190: 3189: 3187: 3185: 3181: 3175: 3172: 3170: 3167: 3165: 3162: 3160: 3157: 3155: 3152: 3150: 3147: 3145: 3142: 3140: 3137: 3135: 3132: 3130: 3127: 3125: 3124:Forward price 3122: 3120: 3117: 3115: 3112: 3110: 3107: 3105: 3102: 3100: 3097: 3096: 3094: 3089: 3086: 3084: 3081: 3080: 3077: 3071: 3068: 3066: 3063: 3061: 3058: 3056: 3053: 3051: 3048: 3046: 3043: 3041: 3038: 3036: 3035:Interest rate 3033: 3031: 3028: 3026: 3023: 3021: 3018: 3016: 3013: 3011: 3008: 3006: 3003: 3001: 2998: 2996: 2993: 2991: 2988: 2986: 2983: 2981: 2978: 2976: 2973: 2971: 2968: 2966: 2963: 2962: 2960: 2958: 2954: 2944: 2941: 2939: 2936: 2934: 2931: 2929: 2928:MC Simulation 2926: 2924: 2921: 2919: 2916: 2914: 2911: 2909: 2906: 2904: 2901: 2899: 2896: 2893: 2889: 2888:Black–Scholes 2886: 2884: 2881: 2879: 2876: 2874: 2871: 2870: 2868: 2866: 2862: 2855: 2851: 2847: 2844: 2842: 2841:Risk reversal 2839: 2837: 2834: 2832: 2829: 2827: 2824: 2822: 2819: 2817: 2814: 2812: 2809: 2807: 2804: 2802: 2799: 2797: 2794: 2792: 2789: 2787: 2784: 2782: 2779: 2777: 2774: 2772: 2771:Credit spread 2769: 2767: 2764: 2762: 2759: 2757: 2754: 2752: 2749: 2747: 2744: 2742: 2739: 2737: 2734: 2733: 2731: 2729: 2725: 2719: 2716: 2714: 2711: 2709: 2706: 2703: 2701: 2698: 2696: 2695:Interest rate 2693: 2691: 2690:Forward start 2688: 2686: 2683: 2681: 2678: 2676: 2673: 2671: 2668: 2666: 2663: 2661: 2658: 2656: 2653: 2651: 2648: 2646: 2643: 2642: 2640: 2638: 2634: 2628: 2625: 2623: 2620: 2618: 2617:Option styles 2615: 2613: 2610: 2608: 2605: 2603: 2600: 2598: 2595: 2593: 2590: 2588: 2585: 2583: 2580: 2579: 2577: 2575: 2571: 2565: 2562: 2560: 2557: 2555: 2552: 2550: 2547: 2545: 2542: 2540: 2537: 2535: 2534:Open interest 2532: 2530: 2527: 2525: 2522: 2520: 2517: 2515: 2514:Delta neutral 2512: 2511: 2509: 2505: 2502: 2500: 2496: 2492: 2487: 2483: 2476: 2471: 2469: 2464: 2462: 2457: 2456: 2453: 2445: 2439: 2435: 2434: 2429: 2424: 2420: 2414: 2410: 2405: 2401: 2395: 2391: 2387: 2386:Steven Shreve 2383: 2379: 2373: 2369: 2365: 2361: 2357: 2353: 2347: 2343: 2339: 2335: 2331: 2325: 2321: 2317: 2312: 2308: 2302: 2298: 2294: 2290: 2289:Frank Fabozzi 2286: 2282: 2276: 2269: 2268: 2262: 2258: 2252: 2248: 2244: 2239: 2235: 2229: 2225: 2224:CFA Institute 2221: 2220: 2214: 2210: 2204: 2200: 2196: 2191: 2187: 2181: 2177: 2172: 2171: 2158: 2151: 2147: 2141: 2135: 2131: 2126: 2118: 2111: 2105: 2091:on 2015-07-09 2087: 2080: 2075: 2070: 2064: 2060: 2055: 2049: 2045: 2044:Goldman Sachs 2040: 2025:on 2016-04-21 2021: 2014: 2007: 1993:on 2012-03-21 1992: 1988: 1984: 1977: 1970: 1969: 1964: 1958: 1950: 1944: 1938: 1937: 1932: 1928: 1923: 1916: 1910: 1902: 1896: 1882:on 2015-06-19 1881: 1877: 1876:www.sitmo.com 1873: 1867: 1861: 1855: 1849: 1843: 1835: 1833:9781899332533 1829: 1825: 1824: 1816: 1808: 1804: 1800: 1796: 1792: 1788: 1781: 1775: 1771: 1768: 1764: 1758: 1751: 1746: 1744: 1742: 1735: 1729: 1723:. Vol.7 No.3 1722: 1718: 1712: 1706: 1702: 1696: 1690: 1686: 1680: 1672: 1666: 1658: 1651: 1644: 1640: 1634: 1626: 1622: 1616: 1609: 1605: 1599: 1592: 1588: 1582: 1575: 1574:Goldman Sachs 1571: 1570: 1563: 1557:. July, 1994. 1556: 1552: 1546: 1539: 1533: 1531: 1523: 1517: 1509: 1505: 1499: 1492: 1488: 1482: 1475: 1471: 1465: 1459: 1455: 1452: 1446: 1444: 1436: 1432: 1426: 1420: 1416: 1410: 1404:, Fall, 21-31 1403: 1399: 1393: 1386: 1382: 1376: 1369: 1365: 1362: 1361: 1354: 1352: 1342: 1333: 1325: 1318: 1314: 1307: 1305: 1301: 1297: 1293: 1289: 1285: 1281: 1277: 1273: 1267: 1265: 1261: 1257: 1253: 1249: 1245: 1241: 1236: 1234: 1230: 1226: 1225:Goldman Sachs 1222: 1218: 1209: 1207: 1203: 1199: 1195: 1191: 1187: 1183: 1178: 1176: 1172: 1168: 1164: 1159: 1157: 1152: 1148: 1147:putable bonds 1144: 1140: 1136: 1131: 1127: 1123: 1117: 1114: 1110: 1106: 1102: 1098: 1094: 1091: 1087: 1083: 1078: 1076: 1072: 1068: 1064: 1060: 1056: 1052: 1048: 1044: 1039: 1035: 1031: 1027: 1023: 1019: 1015: 1011: 1007: 1003: 998: 996: 992: 987: 985: 981: 977: 973: 969: 965: 960: 957: 953: 949: 937: 933: 930: 926: 925: 924: 918: 915: 911: 908: 904: 903: 902: 900: 895: 892: 889: 888: 880: 878: 874: 871:For multiple 869: 867: 863: 859: 855: 851: 847: 843: 838: 836: 831: 827: 821: 819: 815: 811: 807: 803: 799: 795: 790: 789:implied trees 786: 782: 777: 775: 771: 767: 763: 759: 755: 751: 747: 742: 740: 736: 731: 727: 723: 718: 716: 712: 708: 704: 700: 696: 692: 688: 684: 680: 675: 673: 669: 665: 661: 656: 652: 648: 644: 640: 635: 633: 629: 625: 624:present value 621: 617: 614: 610: 606: 601: 599: 595: 591: 587: 583: 579: 575: 571: 567: 563: 559: 547: 525: 522: 519: 516: 513: 509: 502: 499: 496: 490: 485: 482: 479: 476: 473: 469: 465: 457: 451: 448: 444: 440: 435: 432: 429: 423: 420: 416: 407: 403: 400: 399: 398: 378: 374: 351: 347: 322: 318: 314: 309: 305: 300: 296: 291: 287: 283: 278: 274: 265: 250: 247: 244: 241: 236: 233: 230: 227: 223: 202: 199: 196: 193: 188: 185: 181: 160: 140: 132: 131: 130: 127: 124: 123: 115: 113: 109: 105: 101: 97: 93: 89: 85: 81: 80:Black–Scholes 77: 73: 69: 65: 64:discrete time 61: 57: 56:lattice model 53: 45: 41: 37: 34:Tree for an ( 32: 26: 21: 3134:Forward rate 3045:Total return 2933:Real options 2912: 2836:Ratio spread 2816:Naked option 2776:Debit spread 2607:Fixed income 2549:Strike price 2436:. Springer. 2432: 2408: 2392:. Springer. 2389: 2363: 2341: 2318:. New York: 2315: 2292: 2266: 2242: 2218: 2194: 2175: 2168:Bibliography 2157: 2149: 2140: 2125: 2116: 2104: 2093:. Retrieved 2086:the original 2069: 2054: 2039: 2027:. Retrieved 2020:the original 2006: 1995:. Retrieved 1991:the original 1976: 1966: 1957: 1943: 1935: 1922: 1909: 1895: 1884:. Retrieved 1880:the original 1875: 1866: 1854: 1842: 1822: 1815: 1793:(4): 85–98. 1790: 1786: 1780: 1757: 1728: 1720: 1711: 1695: 1679: 1650: 1642: 1633: 1625:eu.wiley.com 1624: 1615: 1607: 1598: 1590: 1581: 1568: 1562: 1554: 1545: 1516: 1507: 1498: 1486: 1485:Zaboronski 1481: 1473: 1464: 1425: 1409: 1401: 1392: 1384: 1375: 1359: 1341: 1332: 1317: 1271: 1268: 1237: 1215: 1186:swap pricing 1179: 1160: 1118: 1112: 1089: 1086:historically 1085: 1079: 1033: 1029: 999: 988: 976:forward rate 961: 954:, and other 948:bond options 945: 936:non-European 922: 896: 893: 890: 870: 861: 841: 839: 830:state prices 825: 822: 814:interpolated 788: 778: 743: 729: 726:Phelim Boyle 719: 695:In the limit 676: 651:real options 636: 602: 593: 589: 585: 581: 577: 573: 569: 565: 561: 557: 555: 546:non-European 396: 128: 125: 55: 49: 25:CRR formulae 3065:Zero Coupon 2995:Correlation 2943:Vanna–Volga 2801:Iron condor 2587:Bond option 2320:McGraw-Hill 1981:Kurt Hess. 1591:Energy Risk 1244:call option 1122:pull to par 1043:yield curve 1026:yield curve 711:log-moments 707:raw moments 96:pull to par 40:bond option 3374:Categories 3339:Tax policy 3055:Volatility 2965:Amortising 2806:Jelly roll 2741:Box spread 2736:Backspread 2728:Strategies 2564:Volatility 2559:the Greeks 2524:Expiration 2368:Risk Books 2297:John Wiley 2199:John Wiley 2095:2015-07-08 1997:2015-06-12 1931:Alan White 1886:2015-06-19 1687:. Thesis, 1310:References 1296:-convexity 1264:Chapter 11 1180:Since the 1113:difference 1067:log-normal 1022:subsequent 968:Hull–White 966:, such as 914:discounted 907:face value 899:underlying 873:underlyers 798:Rubinstein 691:Rubinstein 672:simulation 662:, such as 613:log-normal 605:spot price 62:, where a 3030:Inflation 2980:Commodity 2938:Trinomial 2873:Bachelier 2865:Valuation 2746:Butterfly 2680:Commodore 2529:Moneyness 2273:. Wiley. 1927:John Hull 1807:153599970 1288:convexity 1248:liquidate 1143:callable- 952:swaptions 929:moneyness 858:Edgeworth 730:unchanged 709:and / or 523:− 500:− 455:Δ 449:− 427:Δ 424:− 315:− 297:× 248:⋅ 200:⋅ 3169:Slippage 3099:Contango 3083:Forwards 3050:Variance 3010:Dividend 3005:Currency 2918:Margrabe 2913:Lattices 2892:equation 2878:Binomial 2826:Strangle 2821:Straddle 2718:Swaption 2700:Lookback 2685:Compound 2627:Warrants 2602:European 2582:American 2574:Vanillas 2539:Pin risk 2519:Exercise 2430:(2006). 2388:(2004). 2362:(2000). 2340:(2002). 2291:(1998). 2076:(2013). 2061:(2002). 2046:(1994). 1933:(2015). 1770:Archived 1665:cite web 1489:(2010). 1454:Archived 1364:Archived 1284:duration 1206:OIS rate 1135:floorlet 1101:Black-76 1099:for the 1038:best fit 864:use the 850:kurtosis 820:model.) 804:, often 796:, often 580:= 0 and 339:, where 36:embedded 3088:Futures 2708:Rainbow 2675:Cliquet 2670:Chooser 2650:Barrier 2637:Exotics 2499:Options 1090:current 1006:Vasicek 974:, or a 785:surface 609:process 52:finance 3149:Margin 3015:Equity 2908:Heston 2811:Ladder 2761:Condor 2756:Collar 2713:Spread 2660:Binary 2655:Basket 2440:  2415:  2396:  2374:  2348:  2326:  2303:  2277:  2253:  2230:  2205:  2182:  2029:31 May 1830:  1805:  1250:(i.e. 1240:equity 1163:struck 1107:; see 1105:caplet 1030:output 1028:is an 1018:Ho–Lee 810:Chriss 808:-Kani- 806:Derman 746:Greeks 90:. For 3020:Forex 2975:Basis 2970:Asset 2957:Swaps 2883:Black 2786:Fence 2645:Asian 2507:Terms 2271:(PDF) 2247:Wiley 2113:(PDF) 2089:(PDF) 2082:(PDF) 2023:(PDF) 2016:(PDF) 1803:S2CID 1487:et al 1202:tenor 1198:LIBOR 1130:swaps 1034:input 1012:) or 783:, or 774:Fugit 762:Theta 758:gamma 754:Delta 2854:Bull 2850:Bear 2592:Call 2438:ISBN 2413:ISBN 2394:ISBN 2372:ISBN 2346:ISBN 2324:ISBN 2301:ISBN 2275:ISBN 2251:ISBN 2228:ISBN 2203:ISBN 2180:ISBN 2031:2007 1929:and 1828:ISBN 1671:link 1294:and 1286:and 1145:and 1020:and 1008:and 848:and 846:skew 770:vega 756:and 689:and 687:Ross 653:and 572:and 54:, a 2622:Put 2226:). 1795:doi 1165:on 1010:CIR 984:HJM 982:or 970:or 766:rho 683:Cox 592:to 215:or 153:or 50:In 44:OAS 3376:: 2852:, 2612:FX 2370:. 2322:. 2299:. 2249:. 2201:. 2197:. 2148:, 2132:. 2115:. 1985:. 1965:, 1874:. 1801:. 1789:. 1765:. 1740:^ 1719:, 1703:, 1667:}} 1663:{{ 1641:, 1623:. 1606:. 1589:. 1576:. 1553:. 1529:^ 1506:. 1472:. 1442:^ 1433:, 1417:, 1400:, 1383:, 1350:^ 1235:. 1231:, 1184:, 1077:. 950:, 787:, 752:. 705:, 685:, 670:, 584:= 408:, 114:. 38:) 2894:) 2890:( 2856:) 2848:( 2474:e 2467:t 2460:v 2446:. 2421:. 2402:. 2380:. 2354:. 2332:. 2309:. 2283:. 2259:. 2236:. 2211:. 2188:. 2119:. 2098:. 2033:. 2000:. 1971:. 1951:. 1903:. 1889:. 1809:. 1797:: 1791:8 1673:) 1627:. 1524:. 1510:. 1437:. 1326:. 1133:( 1016:( 1004:( 826:p 594:n 590:n 586:N 582:n 578:n 574:n 570:n 566:n 562:n 558:N 531:) 526:1 520:i 517:, 514:t 510:C 506:) 503:p 497:1 494:( 491:+ 486:1 483:+ 480:i 477:, 474:t 470:C 466:p 463:( 458:t 452:r 445:e 441:= 436:i 433:, 430:t 421:t 417:C 379:d 375:N 352:u 348:N 323:d 319:N 310:u 306:N 301:u 292:0 288:S 284:= 279:n 275:S 263:; 251:d 245:S 242:= 237:n 234:w 231:o 228:d 224:S 203:u 197:S 194:= 189:p 186:u 182:S 161:d 141:u

Index


CRR formulae

embedded
bond option
OAS
finance
valuation of derivatives
discrete time
equity options
American option
option exercise
Black–Scholes
European options
option's maturity date
interest rate derivatives
pull to par
exotic options
path dependence
Monte Carlo methods for option pricing
solving this problem
value is via expectation
non-European
probabilities flow backwards through the tree
spot price
process
log-normal
Brownian motion
exercise value
present value

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