The focus of this paper is on the benefits to investors, arising out of the integration of the capital markets of different countries. The notion that an expansion in the opportunity set of individual investors causes improvements in their welfare is analyzed to take account of the effects on their wealth. With the supplies of investments held constant, the effects of changes in the macroparameters of the risk-return pricing relationship, caused by the merger of capital markets, on the wealth of individuals in the new equilibrium, are determined. Using three specific utility functions – quadratic, exponential and logarithmic – it is shown that international capital market integration is Pareto-optimal, i.e., the welfare of individuals in the economies considered never declines, and will generally improve. The effect of expansion of the opportunity set, due to the integration of capital markets, nullifies the effect of a possible negative change in wealth.

This paper examines the convexity bias, caused by the non-linearity of payoffs, in the pricing of interest rate swaps off the Eurocurrency futures curve. The evidence from four major currencies – $, £, DM and ¥ – during 1987–1996 suggests that swaps were initially being priced off the futures curve (ignoring the convexity adjustment); subsequently, the market swap rates drifted below the rates implied by futures prices. After rejecting alternative explanations, we use alternative term structure models to show that the convexity bias is related to the empirically observed swap-futures differential. We interpret these results as evidence of mispricing of swap contracts during the early years, which was eliminated over time.

[In this article, we present a new method for pricing and hedging American options along with an efficient implementation procedure. The proposed method is efficient and accurate in computing both option values and various option hedge parameters. We demonstrate the computational accuracy and efficiency of this numerical procedure in relation to other competing approaches. We also suggest how the method can be applied to the case of any American option for which a closed-form solution exists for the corresponding European option.]

[In this article, we suggest an efficient method of approximating a general, multivariate log-normal distribution by a multivariate binomial process. There are two important features of such multivariate distributions. First, the state variables may have volatilities that change over time. Second, the two or more relevant state variables involved may covary with each other in a specified manner, with a time-varying covariance structure. We discuss the asymptotic properties of the resulting processes and show how the methodology can be used to value a complex, multiple exerciseable option whose payoff depends on the prices of two assets.]

We examine the pricing and hedging performance of interest rate option pricing models using daily data on US dollar cap and floor prices across both strike rates and maturities. Our results show that fitting the skew of the underlying interest rate probability distribution provides accurate pricing results within a one-factor framework. However, for hedging performance, introducing a second stochastic factor is more important than fitting the skew of the underlying distribution. This constitutes evidence against claims in the literature that correctly specified and calibrated one-factor models could replace multi-factor models for consistent pricing and hedging of interest rate contingent claims.

An important determinant of option prices is the elasticity of the pricing kernel used to price all claims in the economy. In this paper, we first show that for a given forward price of the underlying asset, option prices are higher when the elasticity of the pricing kernel is declining than when it is constant. We then investigate the implications of the elasticity of the pricing kernel for the stochastic process followed by the underlying asset. Given that the underlying information process follows a geometric Brownian motion, we demonstrate that constant elasticity of the pricing kernel is equivalent to a Brownian motion for the forward price of the underlying asset, so that the Black–Scholes formula correctly prices options on the asset. In contrast, declining elasticity implies that the forward price process is no longer a Brownian motion: it has higher volatility and exhibits autocorrelation. In this case, the Black–Scholes formula underprices all options.

The mean-variance capital-asset-pricing model forms the basis for much of the theoretical and empirical work in modern financial economics. While this model defines the relevant measure of the risk of a security 0 in a general equilibrium context. the relationship between this measure and the microeconomic variables of a firm has not been studied in the literature. This paper develops a model of the firm under uncer-tainty and derives the relationship between systematic risk and such firm variables as monopoly power, demand elasticity, and the labor-capital ratio. The general con-clusions are surprisingly robust and point to several interesting empirically testable hypotheses. I.

We use a unique data set from the Trade Reporting and Compliance Engine (TRACE) to study liquidity effects in the U.S. structured product market. Our main contribution is the analysis of the relation between accuracy in measuring liquidity and the level of detail of the trading data employed. We find evidence that, in general, liquidity measures that use dealer-specific information can be efficiently proxied by means of measures that use less detailed information. However, when the level of trading activity in individual securities or overall market activity is low, measures based on more detailed trading data permit a more precise assessment of liquidity. These results provide us with a better understanding of the information contained in disseminated OTC trading data, in general.