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For example, for bond options [3] the underlying is a bond, but the source of uncertainty is the annualized interest rate (i.e. the short rate). Here, for each randomly generated yield curve we observe a different resultant bond price on the option's exercise date; this bond price is then the input for the determination of the option's payoff.
The Interpolated Spread, I-spread or ISPRD of a bond is the difference between its yield to maturity and the linearly interpolated yield for the same maturity on an appropriate reference yield curve. The reference curve may refer to government debt securities or interest rate swaps or other benchmark instruments, and should always be explicitly ...
In mathematical finance, the SABR model is a stochastic volatility model, which attempts to capture the volatility smile in derivatives markets. The name stands for "stochastic alpha, beta, rho", referring to the parameters of the model.
Investment theory, which is near synonymous, encompasses the body of knowledge used to support the decision-making process of choosing investments, [4] [5] and the asset pricing models are then applied in determining the asset-specific required rate of return on the investment in question, and for hedging.
Yield spread can also be an indicator of profitability for a lender providing a loan to an individual borrower. For consumer loans, particularly home mortgages, an important yield spread is the difference between the interest rate actually paid by the borrower on a particular loan and the (lower) interest rate that the borrower's credit would allow that borrower to pay.
Note the dividend rate q 1 of the first asset remains the same even with change of pricing. Applying the Black-Scholes formula with these values as the appropriate inputs, e.g. initial asset value S 1 (0)/S 2 (0), interest rate q 2, volatility σ, etc., gives us the price of the option under numeraire pricing.
In financial mathematics, the Ho-Lee model is a short-rate model widely used in the pricing of bond options, swaptions and other interest rate derivatives, and in modeling future interest rates. [1]: 381 It was developed in 1986 by Thomas Ho [2] and Sang Bin Lee. [3] Under this model, the short rate follows a normal process:
In finance, the Monte Carlo method is used to simulate the various sources of uncertainty that affect the value of the instrument, portfolio or investment in question, and to then calculate a representative value given these possible values of the underlying inputs. [1] ("Covering all conceivable real world contingencies in proportion to their ...