CONDITIONAL HETEROSCEDASTICITY IN THE MARKET MODEL AND EFFICIENT ESTIMATES OF BETAS

Previous studies have investigated only unconditional heteroscedasticity in the market model. This paper tests for both conditional and unconditional heteroscedasticities as well as normality. Using the monthly stock rate of return data secured from the Center for Research in Security Prices (CRSP) tape for 1976 through 1983, this paper shows that conditional heteroscedasticity is more widespread than unconditional heteroscedasticity, suggesting the necessity of model refinements that take conditional heteroscedasticity into account. This paper provides an alternative estimation of betas of individual securities and portfolios based on the autoregressive conditional heteroscedastic (ARCH) model introduced by Engle. The efficiency of the market model coefficients is markedly improved across all firms in the sample through the ARCH technique.     

THE EXISTENCE OF HETEROSCEDASTICITY AND ITS EFFECT ON ESTIMATES OF THE MARKET MODEL PARAMETERS

A number of recent studies have found significant evidence of heteroscedasticity in the market model. These studies have only documented the existence of heteroscedasticity and have not determined the actual impact of this econometric aberration in the estimation process. This study develops a more general specification to determine the effects of heteroscedasticity on the market model parameters. The consequences of this econometric problem in relation to efficiency-bias, temporal stability of betas, and estimates of systematic risk are revealed in the estimation of a maximum likelihood specification.     

SMALL FIRM AND VALUE EFFECTS IN THE CANADIAN STOCK MARKET

We examine the relation among average returns, market beta, firm size, and book-to-market value for Canadian stocks during 1975–92. We document a negative relation between average return and the market capitalization of firms, but find no relation between average return and market beta. While the small firm effect is significant during a period of reduced capital gains tax, it is noticeably lower than during the period leading up to the change. We find that average returns are positively related to book-to-market value especially during the period of lower capital gains tax.     

BENCHMARK ERROR AND THE SMALL FIRM EFFECT: A REVISIT

In this study benchmark error is tested for as a source of the small firm effect by comparing the results from ordinary least squares and instrumental variable methods. Although the instrument is not perfect, results show that benchmark error could be a cause of the overall (all months) small firm effect. Results from the instrumental variable method indicate that large January abnormal returns are still present, but that they are offset by negative non-January abnormal returns. As a result, the instrumental variable results show that there is no longer a significant overall “effect,” merely a seasonal effect. It is also found that the results are not sensitive to the choice of the market index.     

THE NEGLECTED AND SMALL FIRM EFFECTS

This paper addresses the empirical question of whether the differential attention which companies receive affects the capital asset pricing process. The degree of attention was measured by research concentration rankings based on the number of analysts regularly following the firm's securities. The results suggest: (i) that there is a “neglected firm effect” in terms of superior performance for less researched companies and (ii) that the neglected firm effect persists over and above the small firm effect; namely, the excess returns are not fully attributable to size. The ex-post capital asset pricing model is unable to account for the differences in return across security research ranking. Several possible explanations for the results are considered but not tested.     

OUTSOURCING AND MARKET VALUE OF THE FIRM: TOWARD A COMPREHENSIVE MODEL

We analyze the effect of buyer, contract, and vendor characteristics on abnormal stock returns among firms that have announced large scale Information Technology (IT) and Business Process outsourcing (BPO) contracts. We draw upon a comprehensive dataset on outsourcing announcements, augmented with data from public sources. Salient buyer factors examined include use of a wide range of organizational controls. On the vendor side, we examine the impact of vendor size, contract size and reputation. Our study shows that use of behavior controls, outcome controls (negative), vendor reputation, and industry of buyer firm affect market value. When limited to buyer related factors, use of behavior and clan controls is positively related to abnormal returns around IT outsourcing announcements. An interesting finding is that IT and BPO success require different sets of controls. Copyright © 2014 John Wiley & Sons, Ltd.     

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.     

RELATIVE STOCK PRICES AND THE FIRM SIZE EFFECT

A stock's relative price ratio, defined as the ratio of the current price to the average of the highest and lowest prices over some holding period, is shown to be a better predictor of future stock returns than firm size. The price ratio has an even stronger January seasonality than does firm size. After controlling for price ratio variations, firm size has no significant relationship to return. The abnormal returns for the price ratio effect are consistent with those predicted by optimal tax selling considerations.     

SPECULATION AND THE MARKET FOR RECOMMENDATIONS

The purpose of this paper is to investigate the theoretical value of information in a speculative securities market. A model of speculative equilibrium is developed in a market where an independent profit-seeking advisor sells information in the form of buy and sell recommendations. These recommendations and the record of the advisor determine traders' speculative commitments, which take explicit account of informational risk. The model leads to a complete specification of the speculative equilibrium which includes stock prices as well as the price that the advisor can charge for providing recommendations.