Previous anomaly research may have misinterpreted corrected, for the market index, mean returns on small firms. Assuming mean-variance preferences, it is shown theoretically that corrected mean returns (i.e., market line deviations) are not indicative of the relative desirability of increasing the proportional investment in small firms. The correct improvement criterion is derived and estimated. Tests indicate that the value-weighted market index is not significantly improved with greater weight on small firms, in the average month. When seasonality is considered, the observed performance improvements due to small or large firms are significant in some months, but the required portfolio position is unclear. If a case exists for a small firm anomaly in January, it probably exists in other months and it also exists for large firms. It is doubtful whether such an anomalous stock market exists.

The theory of efficient capital markets suggests that if the capital markets are efficient, security prices can be assumed at any time to “fully reflect” all available information. Various forms of the model have been subjected to extensive empirical testing. The results of these tests have been such that in reviewing the literature on the theory Fama [3] states, “ … the evidence in support of the efficient markets model is extensive, and (somewhat uniquely in economics) contradictory evidence is sparse.” Most of the research, however, has been addressed to the question of whether prices “fully reflect” particular subsets of available information. The validity of these results depends on the extent to which the information in the subset used for testing captures the information actually impounded in prices.

Industry analysis has long been a cornerstone in both the academic and professional segments of the investment community. Concepts such as “an industry providing downside protection” or “another is certain to outperform the market” have been prevalent throughout the profession. The importance of industry analysis in terms of stock price changes has been suggested by King, while the influence of the industry factor on corporate earnings changes has been documented by Brown and Ball. These studies and others have indicated that industry analysis has been an important part of security valuation.

We study how patenting enhances customer capital and creates financial value in a product market characterized by information asymmetry between firm insiders and customers. We find that firms with more and higher quality patents develop greater customer capital, as measured by more positive customer perceptions of product novelty and quality. To establish causality, we exploit the exogenous variation in the random assignment of patent examiners to review applications and use the average examiner leniency as an instrument for patent grants. Our mediation analysis documents a positive impact of patenting on firm performance and financial market valuation through enhanced customer capital.

We examine the predictability of stock returns using implied volatility spreads (VS) from individual (nonindex) options. VS can occur under simple no-arbitrage conditions for American options when volatility is time-varying, suggesting that the VS-return predictability could be an artifact of firms’ sensitivities to aggregate volatility. Examining this empirically, we find that the predictability changes systematically with aggregate volatility and is positively related to the firms’ sensitivities to volatility risk. The alpha generated by VS hedge portfolios can be explained by aggregate volatility risk factors. Our results cannot be explained by firm-specific informed trading, transaction costs, or liquidity.

Time variation in the discount rate affects investment and employment decisions in a manner consistent with Q-theory predictions. This evidence is uncovered when using cyclical consumption as a proxy for the discount rate. The results, which are consistent across both U.S. and international data, suggest that firms respond rationally to variations in the cost of capital and that the discount rate has a substantial impact on macroeconomic dynamics and hence business cycle fluctuations.

How does trading in one venue affect the quoting strategies of market makers in other venues? We develop a two-venue imperfect competition model in which market makers face quadratic costs when absorbing shocks. Nonconstant marginal costs imply that absorbing a shock in one venue simultaneously changes marginal costs in all other venues. Moreover, market makers strategically choose which shock(s) to absorb. These two forces may intensify competition, leading to enhanced liquidity. Using Euronext proprietary data, we track individual best bid and ask quotes of intermediaries in each venue. We uncover evidence of strategic cross-venue market-making behavior which is uniquely predicted by our model.

China has experienced significant capital flight over the past two decades. Despite anecdotal evidence that some of this capital has been invested in foreign residential markets, not much is known about its destination and impact. We examine the effects of capital inflows from China on residential property prices and the real economy in the USA and global metropolitan areas. We show that inflows had significant effects on residential property markets and employment in regions that i) have strong ethnic ties to China and ii) are destinations of Chinese students. We document spillovers to geographically adjacent regions without strong Chinese links.

Previous literature finds anomalies are at least as prevalent in developed markets as in emerging markets; namely, the global anomaly puzzle. We show that while market development and information diffusion are linearly related, information diffusion has a nonlinear impact on anomalies. This is consistent with theoretical developments concerning the process of information diffusion. In extremely low-efficiency regimes, without newswatchers sowing the seeds of price discovery and ensuring the long-run convergence of price to fundamentals, initial mispricing and subsequent correction will not occur. The concentration of emerging countries in low-efficiency regimes provides an explanation to the puzzle.

The concept that corporate investment-growth decisions are constrained by a profit opportunities schedule is central to much of the literature on finance and the theory of the firm. These writings suggest that, for a single firm: (1) the profit opportunities schedule is a decreasing function of investment growth (the slope reflecting, inter alia, competitive conditions); (2) the schedule shifts to the right with changes in national income (except for a firm producing income-inferior goods), and (3) the schedule's position (intercept) at a moment in time reflects a host of factors that are summarized by the term “management.”

Most of the insurance oriented literature contains several levels of abstraction regarding the financial solvency of insurance companies. The first level represents those advances in the actuarial profession which are destined to eventually solve the double problem of capacity and capitalization (hereinafter referred to as the Ruin Problem). Most of these works, however, are concerned with developing the tools necessary to determine the theoretical loss distribution in insurance. The emphasis, then, is upon the mean and variance of the total loss distribution as they can be derived from the distribution of frequency and severity.

Recently, Lusztig and Schwab [5] drew attention to a problem which occurs when applying linear programming methods to portfolio selection where capital is rationed over several investment periods. The problem is to determine the relevant discount rate with which to calculate the net present values of the objective function when this same rate is dependent upon the optimal solution to the linear program. Lusztig and Schwab suggested a neat procedure by which it was claimed that one could overcome this difficulty and which also does not rely upon the measurement of subjective utility as did the Baumol and Quandt approach [2]. It was decided to test the Lusztig and Schwab model (afterwards called the L-S procedure for brevity) on a hypothetical problem, and doing so resulted in two conclusions:

(a) The L–S procedure, as described, is incomplete but with small modification may be useful; however,

(b) concentration upon the discount rate problem in isolation from other capital budgeting problems may well be a pointless exercise.

A financial decision model of the firm, in which most prior deterministic decision models' assumptions were relaxed, was developed and solved for its policy and state variables' time-optimal trajectories. In particular, the three alternative modes of corporate financing, with their respective explicit and implicit costs, were treated as distinct, time-variant decision variables. In addition, their dynamic interdependent relationship with the firm's investment-possibilities schedule was clearly delineated. Besides eliminating the usual constant returns assumption, our model further introduced a dividends discount factor which was an explicit function of the firm's debt-equity ratio.

Furthermore, despite the generality of the model solutions, valuable economic implications were determined; namely, (1) conditions for the existence of a steady-state equilibrium were established with the critical role of nonproportional external equity flotation costs being observed; (2) the firm's dynamic equilibrium path was locally unstable in the initial, high-growth phase of its life cycle and was locally stable in its declining-growth stage–a result consistent with the growth literature in security valu ation theory; and (3) the usual assumptions of the balanced-growth path models are sufficient for the optimality of their decision policies.

Two prominent views pertaining to measures of risk aversion can be found in the literature. First, Arrow [2] and Pratt [3]developed risk aversion measures based on the curvature characteristics of the individual investor's utility for wealth function. If the investor's utility for wealth function is given by V(W), then

are the Arrow-Pratt measures of absolute and relative risk aversion, respectively. The investor is risk averse or a risk lover as r(W) and r* (W) are positive or negative. The investor exhibits increasing, constant, or decreasing absolute risk aversion as while he exhibits increasing, constant, or decreasing relative risk aversion as .

The appropriate set of parameters determining the volatility of the value of a portfolio of fixed cash flows of arbitrary maturities is the covariance matrix of unexpected interest rate changes over the term. Equilibrium models of the term structure limit the rank of the covariance matrix and implicitly impose restrictions on covariance estimation. The “full information” approach to risk measurement imposes only time stationarity assumptions on covariance matrix estimators and can result in sample matrices of full rank. Hilliard and Jordan (1989) develop a structured full rank covariance matrix that depends on only two parameters. This paper tests the Hilliard-Jordan model using likelihood ratios and criteria of forecast accuracy.

This paper by Hughes, Logue, and Sweeney offers an excellent summary of recent theoretical work on the advantages of multinational firms in providing opportunities for international diversification. In addition, some interesting empirical tests of an international version of the capital asset pricing model (IAPM) are reported. Neither of these topics is original as several writers have explored the theoretical advantages of the multinational firm providing international diversification, including this discussant [1]. The IAPM has been tested by Solnik [2] and others who find that systematic risk is lower in international financial markets than in domestic ones.

Although the effects of pure diversification and synergistic mergers on market valuation have been widely discussed and there have been a number of studies estimating. merger performance using the two-parameter model of Sharpe-Lintner, the investigation of the corporate determinants of beta is of recent vintage. A variation on this theme, namely whether merger activity is impounded into beta and its speed of being impounded, is the focus of the Joehnk-Nielsen (J-N) study.

The large volume of government bonds issued since 1975 has been a strong driving force for structural change in the Japanese bond markets during the last decade. The increasing amount of outstanding government bonds has made the trading volume in the secondary market increase rapidly, accompanied with the development of interdealer trading.

A piecewise linear weighting function for Black-Scholes implied volatilities is used in conjunction with the Black-Scholes call pricing model to approximate stochastic volatility European call prices. A sensitivity analysis is conducted to compare simulated stochastic volatility call prices to the Black-Scholes prices calculated with the weighted implied volatilities. The analysis indicates that a simple model can provide close approximations to the simulated prices with far less computational effort.

The mean-variance capital asset pricing model (CAPM) of Sharpe and Lintner was extended by Brennan [3] to incorporate divergent borrowing and lending rates. He found that in equilibrium the security market line (SML) has the same structure as the SML under the single-rate CAPM of Sharpe and Lintner. That is, the expected return of a security or a portfolio remains linear in its systematic risk, with the intercept replaced by an equivalent risk-free return, which is an average of the divergent borrowing and lending rates weighted by the investors' taste parameters. The equivalent risk-free return is larger than the riskless lending rate and, hence, does not represent an inconsistency with the empirical findings by Friend and Blume [4] and by Black, Jensen and Scholes [1[ that the intercept of empirical SML estimated for the single-rate CAPM is larger than the riskless rate. Moreover, Brennan attempted to show that his construct can be extended to the extreme case where there are no riskless opportunities. The case of no riskless opportunities was of course investigated by Black [2], who generalized the CAPM and SML by inventing the concept of zero-beta port-folio to account for the same empirical problem encountered in the traditional SML tests of CAPM. Since the Sharpe-Lintner single-riskless-rate CAPM implies a perfect loan market, we may view the attempts by Black and Brennan as generalizing the CAPM by incorporating financial restrictions and loan market imperfections. Their primary motive, however, is empirical, i.e., to reconcile the results from the traditional SML tests with their generalized CAPM.