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.

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.

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.

The recent credit crisis has highlighted the importance of market liquidity and its interaction with the price of credit risk. We investigate this interaction by relating the liquidity of corporate bonds to the basis between the credit default swap (CDS) spread of the issuer and the par-equivalent bond yield spread. The liquidity of a bond is measured using a recently developed measure called latent liquidity , which is defined as the weighted average turnover of funds holding the bond, where the weights are their fractional holdings of the bond. We find that bonds with higher latent liquidity are more expensive relative to their CDS contracts after controlling for other realized measures of liquidity. Analysis of interaction effects shows that highly illiquid bonds of firms with a greater degree of uncertainty are also expensive, consistent with limits to arbitrage between CDS and bond markets, due to the higher costs of “shorting” illiquid bonds. Additionally, we document the positive effects of liquidity in the CDS market on the CDS-bond basis. We also find that several firm- and bond-level variables related to credit risk affect the basis, indicating that the CDS spread does not fully capture the credit risk of the bond.

We propose a multifactor model in which the spot rate, LIBOR, follows a lognormal process, with a stochastic conditional mean, under the risk-neutral measure. In addition to the spot rate factor, the second factor is related to the premium of the first futures rate over the spot LIBOR. Similarly, the third factor is related to the premium of the second futures rate over the first futures rate. We calibrate the model to the initial term structure of futures rates and to the implied volatilities of interest rate caplets. We then apply the model to price interest rate derivatives such as European- and Bermudan-style swaptions, and yieldspread options. The model can be employed to price more complex interest rate derivatives such as path-dependent derivatives or multi-currency-dependent derivatives because of its Markovian property.

This paper investigates the liquidity effect in asset pricing by studying the liquidity–premium relationship of an American depositary receipt (ADR) and its underlying share. Using the [Amihud, Yakov, 2002. Illiquidity and stock returns: cross-section and time series effects. Journal of Financial Markets 5, 31–56] measure, the turnover ratio and trading infrequency as proxies for liquidity, we show that a higher ADR premium is associated with higher ADR liquidity and lower home share liquidity, in terms of changes in these variables. We find that the liquidity effects remain strong after we control for firm size and a number of country characteristics, such as the expected change in the foreign exchange rate, the stock market performance, as well as several variables measuring the openness and transparency of the home market.

This paper investigates how individual attention triggers influence financial risk-taking based on a large sample of trading records from a brokerage service that sends standardized push messages on stocks to retail investors. By exploiting the data in a difference-in-differences (DID) setting, we find attention triggers increase investors’ risk-taking. Our DID coefficient implies attention trades carry, on average, a 19 percentage-point-higher leverage than non-attention trades. We provide a battery of cross-sectional analyses to identify the groups of investors and stocks for which this effect is stronger.

We examine the relation between the prices of Japanese stocks traded on the Tokyo Stock Exchange (TSE) as reflected in the Nikkei Stock Average (NSA) stock index and the prices of the NSA futures contract traded on the Singapore International Monetary Exchange (SIMEX). Since the inception of trading in September 1986, the NSA futures contract has generally sold at a discount relative to its theoretical value. Trading restrictions and transaction costs may explain some of this mispricing, which has been declining over time, as in the U.S. markets.

The Geske–Johnson approach provides an efficient and intuitively appealing technique for the valuation and hedging of American‐style contingent claims. Here, we generalize their approach to a stochastic interest rate economy. The method is implemented using options exercisable on one of a finite number of dates. We illustrate how the value of an American‐style option increases with interest rate volatility. The magnitude of this effect depends on the extent to which the option is in the money, the volatilities of the underlying asset and the interest rates, as well as the correlation between them.