Simulating and Forecasting Utility Stock Returns: Arbitrage Pricing Theory vs. Capital Asset Pricing Model

Just when the capital asset pricing model (CAPM) has become accepted by public utility regulators as a method for estimating a utility's screening rate, academic criticism of the model's theoretical and empirical shortcomings has led to empirical testing of the alternative arbitrage pricing theory (APT). This paper expands on recent APT-CAPM performance comparisons by simulating returns of public utility stocks using versions of both models, as was done by Bower, Bower, and Logue in a 1984 paper. In addition, the models are used for ex-post forecasting of returns in a subsequent time period. The Litzenberger-Ramaswamy method is used to correct for errors-in-variables in the CAPM cross-sectional equation. This allows for estimating the security market line using firm betas. The same methodology is used in the APT stages. Three different criteria—the Theil inequality, the sources of mean square error, and Chen's estimated weights of expected return-are used to compare CAPM and APT simulation and forecasting of the equity screening rates. Tested on a sample of 128 public utility companies, results show that neither model is clearly dominant. There is a tendency for reversal of performance. The model that is superior for simulating returns tends to be inferior for forecasting them, and vice-versa.     

Fixed-income fund performance: Role of luck and ability in tail membership

The risk-adjusted performance (alphas) of a comprehensive and survivorship-free sample of Canadian bond funds after (before) management-related costs is negative (positive) and is weakly sensitive to the choice of the return-generating process. A conditional multi-factor model that captures maturity differences and default risk best describes the return-generating process of these funds. Examination of funds in the tails of the performance distribution using the block-bootstrap method suggests that “bad luck” causes the before costs underperformance of extreme left-tail funds and no fund possesses truly superior management skills.     

AN INVESTIGATION INTO THE ROLE OF THE MARKET PORTFOLIO IN THE ARBITRAGE PRICING THEORY

This paper investigates the role of the market portfolio in the arbitrage pricing theory (APT). We show that if the multifactor return-generating process put forth in the APT is valid, then unexpected deviations in the return on the market portfolio must be completely explained by unexpected deviations in the underlying return-generating factors. As well, market betas are developed as a combination of return-generating factor sensitivity coefficients. These results lead us to conclude that an empirically significant “market factor’ is evidence of omitted return-generating factors, rather than evidence that the market is a factor. Finally, results obtained when market betas are regressed against factor sensitivity coefficients are consistent with these insights. The results suggest that there are at least three return-generating factors. This evidence does not rely on ex post pricing of estimated factors.     

Comparative measures of performance for U.S.-based international equity mutual funds

This paper compares an international two-index model to an International Arbitrage Pricing Theory (IAPT) two-factor model to evaluate the performance of 37 U.S.-based international mutual funds over the 1985–1993 period. Results from the index model confirm prior research that international funds perform as well as the market proxy. In contrast, the IAPT model implies superior investment performance by the international funds. Moreover, the two models produce different relative performance rankings. Intertemporal comparisons of the models indicate that the multifactor IAPT model better reflects the international equity return-generating process.     

Stochastic dominance as an approach to uncertainty in cost accounting

Presently textbook treatment of the topic of uncertainty in cost accounting never goes beyond the notions of mean and variance and the maximization of expected utilities. Because the application of these models requires artificial assumptions about either loss functions or utility functions, students are often left wondering how practical probabilistic models are afterall. This paper suggests that stochastic dominance be used to supplement the current textual material on uncertainty. Since these models are easy to implement in a cost accounting context, the class can devote more time to accounting issues in the context of uncertainty rather than get lost in decision theory. Three models of stochastic dominance are discussed here: the first order, the second order, and the third order stochastic dominance. All the necessary assumptions about each model are stated, and each model is accompanied by a numerical example.     

A new estimate of transaction costs

Transaction costs are important for a host of empirical analysesfrom market efficiency to international market research. Buttransaction costs estimates are not always available, or whereavailable, are cumbersome to use and expensive to purchase.We present a model that requires only the time series of dailysecurity returns to endogenously estimate the effective transactioncosts for any firm, exchange, or time period. The feature ofthe data that allows for the estimation of transaction costsis the incidence of zero returns. Incorporating zero returnsin the return-generating process, the model provides continuousestimates of average round-trip transaction costs from 1963to 1990 that are 1.2% and 10.3% for large and small decile firms,respectively. These estimates are highly correlated (85%), withthe most commonly used transaction cost estimators.     

The Seasonal Stability of the Factor Structure of Stock Returns

This paper investigates the month-by-month stability of (a) daily returns and correlation coefficients of stock returns, (b) correlation and covariance matrices, (c) number of return-generating factors, and (d) the APT pricing relationship. The results show that there is a January effect and a small-firm effect in stock returns. Correlation matrices are more stable than covariance matrices, but both types of matrices are not stable across months and across the sample groups. The number of return-generating factors is rather stable most of the time and for most of the sample groups, but there is some significant instability that is related to the average correlation coefficients among stocks. The APT pricing relationship does not seem to be supported by the two-stage process using the maximum-likelihood factor analysis.     

Individuals and Their Local Utility Stocks: Preference for the Familiar

We find individuals are four times more likely to purchase stocks of their local direct utility company as opposed to utility companies operating outside their state of residence. Our tests reveal that individuals do not possess superior or private information about their local utilities. Indeed, individual preference for their local utility stocks seems to be driven by preference for familiar assets, even in the presence of a desire for high dividend yields. In addition, affluence and sophistication do not reduce local bias.     

Benchmarking Risk Management Within the International Water Utility Sector. Part I: Design of a Capability Maturity Methodology

Risk management in the water utility sector is becoming increasingly explicit. However, due to the novelty and complexity of the discipline, utilities are encountering difficulties in defining and institutionalising their risk management processes. In response, the authors have developed a sector specific capability maturity methodology for benchmarking and improving risk management. The research, conducted in consultation with water utility practitioners, has distilled risk management into a coherent, process‐based framework. We identified eleven risk management processes, and eight key attributes with characterise the extent to which these processes are defined, controlled and institutionalised. Implementation of the model should enable utilities to more effectively employ their portfolio of risk analysis techniques for optimal, credible and defensible decision making.     

Political and Regulatory Risk in Water Utilities: Beta Sensitivity in the United Kingdom

UK utilities are generally regulated by the periodic setting of a price cap (the RPI-X mechanism). To establish these caps, regulators must determine what returns are appropriate on the capital employed by utilities. This paper addresses the issue of the level of risk inherent in investment in the equity of regulated water utilities in the UK. It uses the techniques of the Kalman Filter to estimate daily betas for the major utilities in the period from privatisation to mid-1999. The paper demonstrates that water utilities' risk is time-variant. It demonstrates, also, that there have been significant political and regulatory influences in the systematic risk faced by water utility shareholders. It finds beta to display little evidence of cyclical variation across the regulatory review cycle. The paper also confirms that significant excess returns have been generated over the history of the privatised water sector and suggests that over-estimation of systematic risk faced by investors in the sector may imply further excess returns in the next regulatory review period.     

Regime-switching volatility of six East Asian emerging markets

This paper investigates regime-switching behaviour in the return-generating processes of six East Asian emerging stock markets over the period from 1970 to 2004 and examines the specific characteristics of each regime by utilizing Markov-switching variance models. The results show very strong evidence of more than one regime in each of these stock markets. In addition, the conditional probabilities of each regime derived from the model provide mixed evidence regarding the impact of financial liberalization on return volatility.     

The impact of multiple structural changes on mortality predictions

Most mortality models proposed in recent literature rely on the standard ARIMA framework (in particular: a random walk with drift) to project mortality rates. As a result the projections are highly sensitive to the calibration period. We therefore analyse the impact of allowing for multiple structural changes on a large collection of mortality models. We find that this may lead to more robust projections for the period effect but that there is only a limited effect on the ranking of the models based on backtesting criteria, since there is often not yet sufficient statistical evidence for structural changes. However, there are cases for which we do find improvements in estimates and we therefore conclude that one should not exclude on beforehand that structural changes may have occurred.     

Interest Rate Term Structure Estimation with Exponential Splines: A Note

Vasicek and Fong 11 developed exponential spline functions as models of the interest rate term structure and claim such models are superior to polynomial spline models. It is found empirically that i) exponential spline term structure estimates are no more stable than estimates from a polynomial spline model, ii) data transformations implicit in the exponential spline model frequently condition the data so that it is difficult to obtain approximations in which one can place confidence, and iii) the asymptotic properties of the exponential spline model frequently are unrealistic. Estimation with exponential splines is no more convenient than estimation with polynomial splines and gives substantially identical estimates of the interest rate term structure as well.     

Models of asset returns: changes of pattern from high to low event frequency

In this paper we have analysed asset returns of the New York Stock Exchange and the Helsinki Stock Exchange using various time-independent models such as normal, general stable, truncated Lévy, mixed diffusion-jump, compound normal, Student t distribution and power exponential distribution and the time-dependent GARCH(1, 1) model with Gaussian and Student t distributed innovations. In order to study changes of pattern at different event horizons, as well as changes of pattern over time for a given event horizon, we have analysed high-frequency or short-horizon intraday returns up from 20 s intervals to a full trading day, medium-frequency or medium-horizon daily returns and low-frequency or long-horizon returns with holding period up to 30 days. As for changes of pattern over time, we found that for medium-frequency returns there are relatively long periods of business-as-usual when the return-generating process is well-described by a normal distribution. We also found periods of ferment, when the volatility grows and complex time dependences tend to emerge, but the known time dependences cannot explain the variability of the distribution. Such changes of pattern are also observed for high-frequency or short-horizon returns, with the exception that the return-generating process never becomes normal. It also turned out that the time dependence of the distribution shape is far more prominent at high frequencies or short horizons than the time dependence of the variance. For long-horizon or low-frequency returns, the distribution is found to converge towards a normal distribution with the time dependences vanishing after a few days.     

Why electric utility stocks are sensitive to interest rates

The determinants of electric utility stock interest rate sensitivity are examined. The bond rating of a utility's debt has a strong influence on its equity sensitivity to interest rates. The common stock of highly rated utilities is more interest rate sensitive than that of lower rated utilities. This finding is consistent with investors valuing utility stocks as predominantly income-oriented securities. Once the rating of the debt is controlled for, the debt-level of the utility is positively correlated with interest rate sensitivity. Additionally, larger utilities are found to be more interest rate sensitive than smaller utilities. Evidence is also presented that a utility's proportion of maturing long-term debt influences interest rate sensitivity. A measure for regulatory lag is developed but appears to have no effect on interest rate sensitivity.     

Recent advances in explaining hedge fund returns: Implicit factors and exposures

We survey articles covering how hedge fund returns are explained, using largely non-linear multifactor models that examine the non-linear pay-offs and exposures of hedge funds. We provide an integrated view of the implicit factor and statistical factor models that are largely able to explain the hedge fund return-generating process. We present their evolution through time by discussing pioneering studies that made a significant contribution to knowledge, and also recent innovative studies that examine hedge fund exposures using advanced econometric methods. This is the first review that analyzes very recent studies that explain a large part of hedge fund variation. We conclude by presenting some gaps for future research.     

Comparing New Keynesian models of the business cycle: A Bayesian approach

The baseline New Keynesian model cannot replicate the observed persistence in inflation, output, and real wages for sensible parameter values. As a result, several extensions have been suggested to improve its fit to the data. We use a Bayesian approach to estimate and compare the baseline sticky price model of Calvo's [1983. Staggered prices in a utility maximizing framework. Journal of Monetary Economics 12, 383-398.] and three extensions. Our empirical results are as follows. First, we find that adding price indexation improves the fit of Calvo's [1983. Staggered prices in a utility maximizing framework. Journal of Monetary Economics 12, 383-398.] model. Second, models with both staggered price and wage setting dominate models with only price rigidities. Third, introducing wage indexation does not significantly improve the fit. Fourth, all model estimates suggest a high degree of price stickiness. Fifth, the estimates of labor supply elasticity are higher in models with both staggered price and wage contracts. Finally, the estimated inflation parameters of the Taylor rule are stable across models.     

On measuring the nearness of near moneys revisited

In this paper we re-examine the theoretical foundations and empirical estimation of models which incorporate a CES utility function to study the nearness of money substitutes. We show that previous studies using these models have been subject to a number of theoretical and empirical flaws. The result of these flaws has been to overestimate the degree of substitutability between money and near money assets. We show that when these errors are corrected, estimates of substitution elasticities are several times smaller than even those of the most recent studies and therefore are more in line with estimates from more traditional demand for money studies.     

Money and its substitutes

Measurement of the elasticity of substitution between financial assets is an important element in evaluating the role that those assets play in the economy. This paper generalizes the model developed by Chetty by relaxing the separability conditions while restoring homotheticity to the utility function. The general model is found to produce empirical estimates that are statistically superior to the original, while substantially reducing the estimated elasticities of substitution. Consequently, the various types of savings accounts no longer appear to be very close substitutes for money balances.