Operating leverage as a determinant of systematic risk

Since the development of the capital asset pricing model, a number of studies have examined the effect of a firm's operating leverage on its systematic risk. The essential conclusion of these studies is that operating leverage affects systematic risk through either the contribution margin or unit variable costs. In this paper, the models derived in previous research are refined and extended to demonstrate that, for either a single-product or multiproduct firm, the degree of operating leverage measures the full effect of a firm's operating leverage on its systematic risk. In addition, it is shown that a sales variability measure should also be an important differentiating factor among the systematic risk of common stocks. Thus, the results have important practical implications for financial managers when estimating project or divisional risk for investment decisions, and for security analysts when predicting the systematic risk of common stocks.     

Expectancy-value attitude models an analysis of critical measurement issues

Criteria for scaling beliefs and evaluations in the Fishbein model are considered, and a procedure is developed and illustrated for the proper test of multiplicative models. Hierarchical regression is shown to be a valid method for testing interaction hypotheses even when measures are only interval or ordinal scaled.     

Managerial bias in anticipated images of competing shopping areas

Several dimensions of consumer retail patronage decisions that affect the firm's marketing program are investigated. In particular, the focus of the research extends previous research in the area to investigate the images held by consumers of shopping malls rather than individual stores. Second, the ability of store managers to accurately predict the image held by consumers both of their own shopping area and of a competitor's shopping area is investigated. This is designed to evaluate the ability of managers to predict consumer perceptions irrespective of their own beliefs. Finally, differences in the perceptions of two potential market segments are compared. Manager ability to differentiate between segments is noted. The implications for marketing programming decisions and the contribution the research makes to the body of literature on image measurement are discussed.     

Financial determinants of systematic risk in real estate investment trusts

Financial theory and empirical evidence suggest that a firm's systematic, or market related, risk is related to its financial conditions. This study empirically investigates the financial determinants of systematic risk for Real Estate Investment Trusts (REITs). The study is an examination of sample of 32 REITs for the period 1976–1978. The results indicate that systematic risk varies directly with financial leverage, business risk, and advisor fee. The explanatory power of the relationship between systematic risk and financial variables exceeds that of previous studies wherein firms were pooled across industry groups. The higher explanatory power observed even with limited data suggests that better estimates of coefficients of financial determinants of systematic risk may be obtained through analysis conducted on an industry by industry basis. Furthermore, such industry-specific analysis provides useful results to practicing financial managers in their financial policy considerations. With the knowledge of how the financial decisions affect the firm's systematic risk, a manager may be able to manipulate those variables so as to reduce the systematic risk for his or her firm and thus increase the market value of the firm's securities.     

Exponents of multiattribute models

The effect of different exponents on the predictive ability of multiattribute models is examined. Survey data on 1202 individuals concerning their preferences for television shows is analyzed. The results indicate that the optimal power is not 1, and that consequently it may be somewhat more advantageous to improve on an already strong attribute than on relatively weak ones.     

Mismeasurement of market returns

Virtually all empirical tests of the Capital Asset Pricing Model have assumed (usually implicitly) that returns of some New York Stock Exchange index measure the returns of the “market factor” without error. However, recent theoretical developments suggest that this assumption may be inappropriate. In this effort, an obverse tack is adopted — the asset pricing model is assumed correct and attention is focused on the impacts of incorrect specification of market returns. A simple errors-in-variables econometric technique is used to reevaluate the oft-cited study of Black, Jensen, and Scholes. The conclusion is reached that incorrect measurement of the market is itself an onerous and unreconciled problem which adds marked bias to tests of asset pricing mechanisms.     

Estimating temporal trends in preferences measured by graded paired comparisons

A sizable marketing research literature on preference measurement, prediction, and explanation has thus far been more concerned with point estimates of preference than with consistent changes over time. Such temporal trends can be estimated using data collected from graded paired comparisons. An appropriate technique for deriving individual and group trend parameters is first described and then illustrated using data from an experiment dealing with aesthetic preferences. Suggestions are offered concerning its advantages and limitations for applications in marketing.     

Reliability and cross-validity of trade-off analysis in an industrial setting

More than 200 applications of trade-off analysis now have been completed. A review of the literature uncovers only four sources that evaluate the reliability or validity, or both, of trade-off analysis using the concept evaluation approach. Detailed evaluations of trade-off analysis based on trade-off grid data are unavailable. This paper reports reliability and cross-validity experience using this approach.