ON IMPROVING THE PERFORMANCE OF THE MARKET MODEL

Data on 4,087 securities from 1988 to 1990 are used to test the relation between market model R² and trading volume. Eliminating high-volume observations increases R² by about 10 percent, confirming results previously reported. This study indicates that this improvement is possible by eliminating a small number of observations. It also indicates that this relation between R² and volume is unrelated to firm size.     

THE INFORMATION CONTENT AND USEFULNESS OF THE TERM STRUCTURE OF THE NEW ZEALAND BANK BILL MARKET

This paper applies the rationality concept and expectations hypothesis to test the information efficiency of the term structure of the New Zealand bank bill market. Weekly data is collected from June 1986 to November 1988. The sample period is partitioned into two subperiods by the sharemarket crash in October 1987. The empirical results suggest the presence of a time varying risk premium. This is reflected by the significantly positive volatility measure in the first subperiod and the significant interest rate level variable in both subperiods. The forecast errors correlate significantly with the growth in money supply and overseas interest rate variables. Factors other than market information inefficiency could be responsible for the significant correlation; namely the impact of the sharemarket crash on market perceptions about inflation expectations and the non-simultaneous data problem in calculating the differential costs of borrowing. Despite the rejection of the joint hypothesis, forward rates are found to have information about future spot rates beyond that contained in past spot rates, and are able to predict interest rates at least 30 days ahead.     

THE EFFECTS OF COMPLEX CAPITAL STRUCTURE ON THE MARKET VALUES OF FIRMS

The familiar Modigliani and Miller risk class model is the basis of a test for differences in value between simple and complex capital structure groups of firms. Cluster analysis, using market risk measures and debt-equity ratio as input, provides the method for obtaining the risk class sample of firms. Crosssectional tests at three annual dates are made on twenty-six simple and twentysix complex capital structure firms. For all periods examined, the complex capital structure firms are valued lower than the simple capital structure firms. Possible explanations for the results include failure of the arbitrage mechanism and the presence of certain costs associated with different types of capital structures.     

THE EFFECT OF MARKET CONDITIONS AND RISK CLASSIFICATIONS ON MARKET MODEL PARAMETERS

This article reports the results of tests used to detect shifts in market model parameters during bull and bear market conditions. The evidence indicates that the parameters exhibit nonstationarity during market advances and market declines for certain predetermined stock groups. Specifically, the parameters of stocks in high-risk and low-risk classifications behave as if they are affected by the alternating forces of bull and bear markets.     

THE EFFECTS OF BANK CONSOLIDATION ON RISK CAPITAL ALLOCATION AND MARKET LIQUIDITY

We investigate the effects of financial market consolidation on the allocation of risk capital in a financial institution and the implications for market liquidity in dealership markets. An increase in financial market consolidation can increase liquidity in foreign exchange and government securities markets. We assume that financial institutions use risk‐management tools in the allocation of risk capital and that capital is determined at the firm level and allocated among separate business lines or divisions. The ability of market makers to supply liquidity is influenced by their risk‐bearing capacity, which is directly related to the amount of risk capital allocated to this activity.     

THE ESTIMATED IMPACT OF RESIDUAL MARKET ASSESSMENTS ON FLORIDA PROPERTY INSURERS

Abstract: The authors examine the risk financing approach of the Florida state-sponsored property insurance programs. The programs rely heavily on post-disaster assessments on insurers to meet expected obligations. The authors evaluate the impact of the assessments and discuss whether this approach represents a realistic solution to the cat problem.