PORTFOLIO PERFORMANCE AND THE INTERACTION BETWEEN SYSTEMATIC RISK,FIRM SIZE AND PRICE-EARNINGS RATIO: THE CANADIAN EVIDENCE

While some American studies relate portfolio performance to P/E ratios, others reject such a hypothesis or find evidence of a confounded P/E-size effect. This prevents conclusive inferences. Canadian markets are structurally different from American ones; thus American evidence may not apply to Canadian stocks. This study examines how interaction between P/E ratio, beta and firm size affects the portfolio performance of Canadian stocks. The results show a relative support for the firm size effect, even after proper adjustment for risk and alternate change in control variables. This evidence is not uniform across different quarters of the year but not restricted to year-end effect. The findings also demonstrate a positive correlation among the three variables. However, one cannot generalize conclusions since the analysis may not capture all other pertinent factors.     

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.     

A NOTE ON FIRM SIZE, INFORMATION AVAILABILITY AND MARKET REACTIONS TO US STOCK OWNERSHIP REPORTING ANNOUNCEMENTS

This note examines cross-sectional differences in market reaction to five percent stock ownership reporting announcements. The results presented here document an inverse relationship between firm size and market reaction. Specifically, the announcement day market reaction is 310 percent larger for a portfolio of small firms compared to a portfolio of large firms.     

PRODUCT MARKET STRUCTURE,CAPITAL INTENSITY,AND SYSTEMATIC RISK: EMPIRICAL RESULTS FROM THE THEORY OF THE FIRM

Product market concepts from industrial organization economics are integrated with financial valuation models of the firm to investigate relationships among systematic risk, capital intensity, and product market power. The theory of the firm facing uncertain input and output prices is extended to provide empirical models. Empirical results coincide with hypotheses derived from the theoretical model and pose questions about traditional single period hypotheses found in the finance literature.     

BETA,SIZE, RISK,AND RETURN

We relate the cross‐section of stock returns to firm size, beta, and total risk. We find that as extreme monthly security returns are censored from the data, the significance level decreases rapidly for the size variable and increases for beta and total risk. An analysis of up and down markets reaffirms our findings. Consequently, average returns relate positively with beta, negatively with total risk, and not at all with firm size. We infer that investors willingly accept a lower average return on high‐total‐risk investments as the trade‐off for buying a chance at an extreme positive return. JEL classification: G1.     

EARNINGS EXPECTATIONS, FIRM SIZE, AND THE INFORMATIVENESS OF STOCK PRICES

The notion that prices impound a wide array of information, including market expectations, has led to earnings forecast models conditioned on prices. Yet, presumably, analysts' forecasts capture both public information and certain private information not previously impounded in prices. Accordingly, price-based models are seemingly an inefficient, and less effective, source of expecta-tions. This article investigates this hypothesis using financial analysts', price-based, and naive forecasts. Results indicate that analysts' forecasts (1) are at least as accurate as price-based and naive models, and (2) yield better expectations for market tests relating returns and earnings. These inferences are robust across different information environments. The evidence suggests that analysts either possess private information or are more effective information processors, or both.     

THE CROSS-SECTIONAL EFFECTS OF OPTION LISTING ON FIRM STOCK RETURN VARIANCES

We develop a set of hypotheses to explain cross-sectional differences in variance changes associated with option listing. Transactions variance is decomposed into three components: the bid-ask spread, return autocorrelations, and intrinsic variance. Each is investigated separately. We find support for hypotheses that link: (1) changes in dealer transactions costs to changes in the bid-ask spread following option listing; (2) changes in the quantity and quality of information and the value of new information to movements of the return autocorrelation structure toward zero; and (3) changes in trading volume and the clientele that trades the underlying security to changes in intrinsic variance following option listing.     

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.     

ON THE THEORETICAL RELATIONSHIP BETWEEN BUSINESS RISK AND SYSTEMATIC RISK

This article develops a theoretical relationship between systematic risk and business risk. It is an area that has not been substantially developed in the literature. Rubinstein (1973) and Lev (1974) both developed theoretical models of systematic risk allowing for stochastic demand. A model is derived that allows for prices, variable costs and demand to be simultaneously stochastic, utilizing the covariance of the product of random variables. The temporal stationarity of unlevered systematic risk is dependent upon the temporal stationarity of the theoretical structure derived. Insight is gained as to a potential source of the empirically observed temporal instability of levered systematic risk.