Additional experimental evidence on the relationship between class meeting time compression and accounting student performance and evaluations

This experiment replicates and extends earlier studies which compared the effect of class meeting time compression on accounting student performance and evaluations. Two undergraduate day sections of advanced accounting students were used in the experiment. The first was taught in a regular format: three one-hour meetings per week. The second was taught by the same instructor in a compressed format: one three-hour meeting per week. After controlling for initial differences in grade point averages (GPAs) and prior exposure to compressed accounting classes, the experimental treatment was found to have no impact on either evaluations or performance. Results are in agreement with, and therefore support the external validity of, previous studies in the area. They suggest that, with highly-rated instructors, accounting courses can be offered on a compressed basis without regard to negative effects on performance or evaluations.     

Paying for observable luck

This article examines why CEOs are rewarded for luck, namely for observable shocks beyond their control. I propose a simple hidden action model where the agent has implicit incentives to avoid bankruptcy. After signing the contract, but before acting, the agent observes a signal on future luck. Implicit incentives are weaker after good news, and call for higher pay‐for‐performance sensitivity in good times. As a result, managerial pay is tied to luck. The model is also consistent with recent evidence of asymmetric pay for luck, that is, a larger exposure of managerial pay to good luck than to bad.     

On the Stability of the Cross‐Section of Expected Stock Returns in the Cross‐Section: Understanding the Curious Role of Share Turnover

In this paper, we shed further light on cross‐sectional predictors of stock return performance. Specifically, we explore whether the cross‐section of expected stock returns is robust within stock groups sorted by past monthly return. We find that the book/market and momentum effects are remarkably robust to sorting on past returns. However, share turnover is negatively related to future returns for stocks with abnormally low stock price performance in the recent past, but postively related to returns for well‐performing stocks. This casts doubt on the use of turnover as a liquidity proxy, but is consistent with turnover being a proxy for momentum trading which pushes prices in the direction of past price movements. Our results are robust to both NYSE/AMEX and Nasdaq stocks, and also robust to stratifying the sample by time period.     

The Persistence of Opportunistic Insider Trading

We study the drivers of persistent insider trading profitability by examining the trades of insiders whose past trades have been profitable. We find that the current transactions of these persistently profitable (PP) insiders better predict firm performance than those of other insiders. The relative abnormal performance is more pronounced for trades of insiders who are managers rather than large shareholders or unaffiliated insiders and for trades in firms with weaker governance and greater information asymmetry. The trades of PP insiders also better predict earnings surprises, major corporate news, and analyst revisions. Collectively, these results indicate that PP insider transactions provide valid signals regarding future firm performance and that persistence in profitability is driven by informational advantages.     

Cross‐sectional Tests of Conditional Asset Pricing Models: Evidence from the German Stock Market

We study the performance of conditional asset pricing models and multifactor models in explaining the German cross‐section of stock returns. We focus on several variables, which (according to previous research) are associated with market expectations on future market excess returns or business cycle conditions. Our results suggest that the empirical performance of the Capital Asset Pricing Model (CAPM) can be improved when allowing for time‐varying parameters of the stochastic discount factor. A conditional CAPM using the term spread explains the returns on our size and book‐to‐market sorted portfolios about as well as the Fama‐French three‐factor model and performs best in terms of the Hansen‐Jagannathan distance. Structural break tests do not necessarily indicate parameter instability of conditional model specifications. Another major finding of the paper is that the Fama‐French model – despite its generally good cross‐sectional performance – is subject to model instability. Unconditional models, however, do a better job than conditional ones at capturing time‐series predictability of the test portfolio returns.     

Information and delay in an agency model

This article studies how delay in contracting depends on an exogenous signal. The agent whose cost is his private information may produce in the first period or be delayed until the second period. A signal about the cost of the agent is available between the two periods. The quality of the good can vary; in the benchmark case of no signal, the principal offers the standard Baron‐Myerson contract and there is no delay. Delay is determined by the considerations at the margin and may increase or decrease with a better signal. The value of information can be negative, as a better signal may aggravate the principal's commitment problem. A better signal may also increase the agent's rent and decrease social welfare.     

Volatility as an Asset Class: European Evidence

Abstract

Volatility movements are known to be negatively correlated with stock index returns. Hence, investing in volatility appears to be attractive for investors seeking risk diversification. The most common instruments for investing in pure volatility are variance swaps, which now enjoy an active over-the-counter (OTC) market. This paper investigates the risk-return tradeoff of variance swaps on the Deutscher Aktienindex and Euro STOXX 50 index over the time period from 1995 to 2004. We synthetically derive variance swap rates from the smile in option prices. Using quotes from two large investment banks over two months, we validate that the synthetic values are close to OTC market prices. We find that variance swap returns exhibit an option-like profile compared to returns of the underlying index. Given this pattern, it is crucial to account for the non-normality of returns in measuring the performance of variance swap investments. As in the US, the average returns of selling variance swaps are found to be strongly positive and too large to be compatible with standard equilibrium models. The magnitude of the estimated risk premium is related to variance uncertainty and past index returns. This indicates that the variance swap rate does not seem to incorporate all past information relevant for forecasting future realized variance.     

An Analysis of Contrarian Investment Strategies in the UK

The performance of contrarian, or value strategies – those that invest in stocks that have low market value relative to a measure of their fundamentals – continues to attract attention from researchers and practitioners alike. While there is much extant evidence on the profitability of value strategies, however, most of this evidence pertains to the US. In this paper, we provide a detailed characterisation of value strategies using data on UK stocks for the period 1975 to 1998. We first undertake simple one-way and two-way classifications of stocks in which value is defined using both past performance and expected future performance. Using sales growth as a proxy for past performance and book-to-market, earnings yield and cash flow yield as measures of expected future performance, we find that that stocks that have both poor past performance and low expected future performance have significantly higher returns than those that have either good past performance or good expected future performance. Allowing for size effects in returns reduces the value premium but it nevertheless remains significant. We go on to explore whether the profitability of value strategies in the UK can be explained using the three factor model of Fama and French (1996). Broadly consistent with the results for the US, we find that using the one-way classification the excess returns to almost all value strategies can be explained by their loading on the market, book-to-market and size factors. However, in contrast with the US, using the two-way classification there are excess returns to value strategies based on book-to-market and sales growth, even after controlling for their loading on the market, book-to-market and size factors.     

Does vertical integration affect firm performance? Evidence from the airline industry

We investigate the effects of vertical integration on operational performance. Large U.S. airlines use regional partners to operate some of their flights. Regionals may be owned or governed through contracts. We estimate whether an airline's use of an owned, rather than independent, regional at an airport affects delays and cancellations on the airline's own flights out of that airport. We find that integrated airlines perform systematically better than nonintegrated airlines at the same airport on the same day. Furthermore, the performance advantage increases on days with adverse weather and when airports are more congested. These findings suggest that, in this setting, vertical integration may facilitate real‐time adaptation decisions.     

Persistence in Portuguese mutual fund performance

Recent evidence suggests that future performance is predictable from past performance, that is, funds with superior (inferior) performance in the past are likely to remain good (bad) performers in the future. This research addresses the persistence of mutual fund performance in a European regional market (the Portuguese equity fund market). Some of the problems in evaluating fund persistence are identified in the context of limited sample size and using the peer group median as a benchmark for contingency table analysis of performance persistence. The criteria for assessing performance persistence based on the contingency table methodology of repeated winners and losers are presented in terms of significance statistics, adjusted for small sample bias. The adjustments are accomplished through the Yates continuity correction and Fisher's exact p-value. The appropriateness of each criteria under different circumstances is also discussed. The analysis of the returns of all Portuguese domestic equity funds, since a representative number was established, shows some performance persistence (on a quarterly basis). The persistence, however, is reduced when the returns are controlled for the various dimensions of risk. Significant risk persistence has been documented. Furthermore, for more or less frequent intervals of measurement, the industry persistence is rejected, although individual funds exhibit superior/inferior performance.     

Mortality Change and Forecasting

Abstract

Prospects of longer life are viewed as a positive change for individuals and as a substantial social achievement but have led to concern over their implications for public spending on old-age support. This paper makes a critical assessment of knowledge about mortality change. It is oriented toward the problem of forecasting the course of mortality change and the potential of existing work to contribute to the development of useful forecasts in Canada, Mexico, and the U.S.

We first examine broad patterns in the historical decline in death rates in the three countries, the effect of these on trends in life expectancy, and the epidemiological transition. Next we review theories of the age pattern and evolution of mortality, including graduations, evolutionary theory, reliability models, dynamic models, and relational models.

The analysis and forecasting of mortality change have been shaped largely by some key historical lessons, which we summarize next. We emphasize issues that have been or are likely to be significant in mortality analysis, especially the questions of the age pattern and time trend in mortality at old ages; we distinguish patterns and facts that are established from those that remain uncertain. Next, we consider mortality differentials in characteristics such as sex, marital status, education, and socioeconomic variables; we summarize their key features and also point to the substantial gaps in our understanding of their determinants.

Finally, we review methods of forecasting, including the scenario method used by the U.S. Social Security Administration and the time series method of Lee and Carter. We set out some important recommendations for forecasters: forecasting assumptions should be made more formal and explicit; there should be retrospective evaluations of forecast performance; and greater attention should be paid to the assessment and consequences of forecast uncertainty.     

The time‐varying performance of UK analyst recommendation revisions: Do market conditions matter?

This study examines the time‐varying performance of investment strategies following analyst recommendation revisions in the UK stock market, with specific emphasis on the impact of changing market conditions. We find a negative relationship between the recommendation performance and market conditions as measured in terms of past market return and market volatility. In particular, the upgrade (downgrade) portfolio generates significantly positive (negative) net abnormal returns in bad market conditions (e.g., the dot‐com bubble burst in 2000 and the credit crisis in 2007), but not in other periods of time. Moreover, our non‐temporal threshold regression analysis shows that the reported negative relationship disappears when market conditions become better, i.e., when the past market return (market volatility) is higher (lower) than a certain level, indicating the importance of taking non‐linearity into account in the long sample period as examined in this study. Our time‐series bootstrap simulations further confirm that the superior recommendation performance in bad market conditions is not due to random chance; analysts have certain skills in making valuable up/downward revisions in bad markets.     

The fundamentals of momentum investing: European evidence on understanding momentum through fundamentals

This paper tests Ahmed and Safdar's noise‐related fundamentals‐based explanation for the momentum premium in European equity markets. Consistent with the view that past price changes may be partially driven by noise, the future return behaviour of winners and losers is significantly dependent upon the degree to which past price performance is consistent with fundamentals. European momentum profits are concentrated among those firms where past price performance is congruent with fundamentals, but absent among those firms where past price performance is incongruent with fundamentals. The significantly different momentum premiums on congruent and incongruent fundamentals‐momentum strategies are attributable to the exploitation of existing mispricing among momentum stocks that can be ex ante identified using firm fundamentals.     

Dynamic Agency and the q Theory of Investment

We develop an analytically tractable model integrating dynamic investment theory with dynamic optimal incentive contracting, thereby endogenizing financing constraints. Incentive contracting generates a history‐dependent wedge between marginal and average q, and both vary over time as good (bad) performance relaxes (tightens) financing constraints. Financial slack, not cash flow, is the appropriate proxy for financing constraints. Investment decreases with idiosyncratic risk, and is positively correlated with past profits, past investment, and managerial compensation even with time‐invariant investment opportunities. Optimal contracting involves deferred compensation, possible termination, and compensation that depends on exogenous observable persistent profitability shocks, effectively paying managers for luck.     

Are there monitoring benefits to institutional ownership? Evidence from seasoned equity offerings

We provide new evidence on the monitoring benefits from institutional ownership by analyzing the impact of institutional ownership on stock price and operating performance following seasoned equity offerings, a setting where the effects of monitoring are likely to be especially important. We find that announcement returns are positively and significantly related to total and active institutional ownership levels and concentration. Post-issue stock returns are positively and significantly related to the contemporaneous post-issue changes in total and active institutional ownership and the concentration of their shareholdings. Operating performance improvements are also related to institutional monitoring in the one, two, and three years following the equity issue. Our results continue to hold even after accounting for the possibility that institutional investors have an informational advantage that enables them to identify and invest in subsequently better performing firms. We also empirically eliminate the possibility that our findings are driven by institutions buying past winners and selling past losers as a way to window-dress their portfolio holdings.     

Earnings Trend and Performance Relative to Benchmarks: How Consistency Influences Their Joint Use

Archival research shows that the market reacts to earnings trend as well as to earnings performance relative to analysts' forecasts (i.e., benchmark performance). We conduct four experiments to investigate how and why investors react to these two measures when both are available over multiple time periods. Our results show that investors rely on an earnings measure only when it is consistent over time. When both measures are consistent over time, investors use them in an additive fashion, suggesting that they view them as providing different information about the firm. Further tests show that investors believe that earnings trend and benchmark performance both provide information about a firm's future prospects and management's credibility. Although judged future prospects fully explain the effect of earnings trend on investor judgments, neither judged future prospects nor management credibility completely explains the effect of benchmark performance. Our study has implications for firm managers and researchers.     

Robust and Efficient Fitting of Loss Models

Abstract

We consider robust and efficient fitting of claim severity models whose parameters are estimated using the method of trimmed moments, which was recently introduced by Brazauskas, Jones, and Zitikis. In this article we take the “next” step by going beyond the theory and simulations. We address important issues that arise in practical application of the method. Specifically, we introduce two graphical diagnostic tools that can be used to choose the trimming proportions and hence help one to decide on the appropriate trade-off between robustness and efficiency. What is equally important, such tools are useful in model selection, for assessing the overall goodness of model fit, and for identification of outliers. Some insights about the choice between a “good” fit and an “even better” fit and its impact on risk evaluations are provided. Data analysis and illustrations are performed using real data that represent the total damage done by 827 fires in Norway for the year 1988.     

The Predictive Ability of Direct Method Cash Flow Information

This research examines the predictive ability of direct method cash flow information for firms that use the direct method in their cash flow statements. We use cross sectional and pooled time series regressions to predict operating cash flow data and assess relative predictive ability. Principal findings are: (1) past period direct method cash flow data predict future operating cash flow better than indirect method cash flow data; (2) past period direct method gross operating cash flows predict future net operating cash flow better than past period net operating cash flow; (3) measurement error exists in estimates of direct method operating cash flows from other financial statement data; (4) past operating cash flows predict future operating cash flows better than earnings and accruals.     

“Bounds for Ruin Probabilities in the Presence of Large Claims and their Comparison”, Vladimir Kalashnikov,April, 1999

Abstract

Performance measurement systems and report cards which attempt to measure and report the quality of care provided by managed health-care organizations, have become mainstream in health insurance markets as managed care penetration continues to increase. However, little is known about the impact formal plan evaluations have on the contracting and enrollment decisions made by health insurance purchasers and consumers. Information regarding the link between performance evaluations and enrollment is crucial for those charged with projecting future enrollments in and risk profiles of managed care organizations. This paper describes the performance measurement systems currently being used to evaluate managed care plans and reviews the empirical literature for evidence regarding the impact of measures on plan enrollments.     

Forecasting mortality

Abstract

The work of actuaries is concerned with estimating the future on the basis of past experience. The calculation of a premium to be charged for a given risk implies a forecast of the future but so far as mortality is concerned we have generally been content to examine past experience and assume that the results will be repeated. Judged as forecasts our estimates have sometimes been wide of the mark and owing to an almost continuous improvement in mortality actuaries have been assuming heavier rates of mortality than have been experienced. We may defend the use of past experience by saying that it is on the safe side when we are calculating premiums and we may argue that it is the best practical method; but an alternative is to make a more accurate forecast and then allow in our calculations a margin for chance deviations, emergencies, etc. Moreover the assumption that the past will be repeated has not been uniformly safe; it has led to bad results in annuity business and may prove unfortunate in social insurance, pension funds, and even sickness insurance. For some of these purposes we should either work on an estimate of future rates of mortality or, which comes to much the same thing, take a sufficient margin to cover the error involved in our assumptions.