Hysteresis bands on returns,holding period and transaction costs

In the presence of transactions costs, no matter how small, arbitrage activity does not necessarily render equal all riskless rates of return. When two such rates follow stochastic processes, it is not optimal immediately to arbitrage out any discrepancy that arises between them. The reason is that immediate arbitrage would induce a definite expenditure of transactions costs whereas, without arbitrage intervention, there exists some, perhaps sufficient, probability that these two interest rates will come back together without any costs having been incurred. Hence, one can surmise that at equilibrium the financial market will permit the coexistence of two riskless rates that are not equal to each other. For analogous reasons, randomly fluctuating expected rates of return on risky assets will be allowed to differ even after correction for risk, leading to important violations of the Capital Asset Pricing Model. The combination of randomness in expected rates of return and proportional transactions costs is a serious blow to existing frictionless pricing models.     

Survival

Empirical analysis of rates of return in finance implicitly condition on the security surviving into the sample. We investigate the implications of such conditioning on the time series of rates of return. In general this conditioning induces a spurious relationship between observed return and total risk for those securities that survive to be included in the sample. This result has immediate implications for the equity premium puzzle. We show how these results apply to other outstanding problems of empirical finance. Long-term autocorrelation studies focus on the statistical relation between successive holding period returns, where the holding period is of possibly extensive duration. If the equity market survives, then we find that average return in the beginning is higher than average return near the end of the time period. For this reason, statistical measures of long-term dependence are typically biased towards the rejection of a random walk. The result also has implications for event studies. There is a strong association between the magnitude of an earnings announcement and the postannouncement performance of the equity. This might be explained in part as an artefact of the stock price performance of firms in financial distress that survive an earnings announcement. The final example considers stock split studies. In this analysis we implicitly exclude securities whose price on announcement is less than the prior average stock price. We apply our results to this case, and find that the condition that the security forms part of our positive stock split sample suffices to explain the upward trend in event-related cumulated excess return in the preannouncement period.     

Regime switching in the relationship between equity returns and short-term interest rates in the UK

This paper examines the relationship between UK equity returns and short-term interest rates using a two regime Markov-Switching EGARCH model. The results suggest one high-return, low variance regime within which the conditional variance of equity returns responds persistently but symmetrically to equity return innovations. In the other, low-mean, high variance, regime equity volatility responds asymmetrically and without persistence to shocks to equity returns. There is evidence of a regime dependent relationship between shorter maturity interest rate differentials and equity return volatility. Furthermore, there is evidence that events in the money markets influence the probability of transition across regimes.     

Crossing the lines: The conditional relation between exchange rate exposure and stock returns in emerging and developed markets

This paper examines the importance of exchange rate exposure in the return generating process for a large sample of non-financial firms from 37 countries. We argue that the effect of exchange rate exposure on stock returns is conditional and show evidence of a significant return impact to firm-level currency exposures when conditioning on the exchange rate change. We further show that the realized return to exposure is directly related to the size and sign of the exchange rate change, suggesting fluctuations in exchange rates as a source of time-variation in currency return premia. For the entire sample the return impact ranges from 1.2 to 3.3% per unit of currency exposure, and it is larger for firms in emerging markets compared to developed markets. Overall, the results indicate that foreign exchange rate exposure estimates are economically meaningful, despite the fact that individual time-series results are noisy and many exposures are not statistically significant, and that exchange rate exposure plays an important role in generating cross-sectional return variation. Moreover, we show that the relation between exchange rate exposure and stock returns is more consistent with a cash flow effect than a discount rate effect.     

Sources of time varying return comovements during different economic regimes: evidence from the emerging Indian equity market

We study the economic and non-economic sources of stock return comovements of the emerging Indian equity market and the developed equity markets of the US, UK, Germany, France, Canada and Japan. Our findings show that the probability of extreme comovements in the economic contraction regime is relatively higher than in the economic expansion regime. We show that international interest rates, inflation uncertainty and dividend yields are the main drivers of the asymmetric return comovements. Findings reported in the paper imply that the impact of interest rates and inflation on return comovements could be used for anticipating financial contagion and/or spillover effects. This is particularly critical since during extreme market conditions, the tail return comovements can potentially reveal critical information for active portfolio management.     

On the validity of accounting rates of return in cross-sectional analysis: Theory, evidence, and implications

This paper reports the results of an empirical examination of the relationship between firm accounting rate of return (ARR) and firm internal rate of return (IRR). The evidence presented shows that some of the analytically derived properties of the ARR-IRR relationship hold in a sample of U.S. manufacturing firms. This evidence can be interpreted as documenting the existence of a potentially important degree of measurement error in the ARR for a sample of actual firms and increases the credibility of those who have questioned the use of accounting rates of return as the dependent variable in cross-sectional studies of firm profitability.     

Economic significance of predictability in Australian equities

This paper examines evidence of predictability in Australian equities using both statistical and economic metrics of significance. A probit‐based predictive model is used to forecast the probability that the 1 month ahead excess market return will be positive. Funds under management are then switched between equities and fixed income on the basis of this forecast. Although the statistical evidence of the model's predictive ability is mixed, the results suggest convincing evidence of an economically significant degree of return predictability. A $A1 investment in the switching strategy (market) in January 1980 grows to over $A55 ($A39) by June 2007. Although the economic significance of the switching strategy remains even in the presence of high transaction costs, robustness checks suggest that the seemingly impressive full‐sample results might be sample specific. The apparent superiority of the portfolio‐switching strategy can be traced to a handful of observations early in the study during which the predictive model provides a timely signal to exit equities. There is little evidence that the predictive model has forecasting ability across the entire sample. As such, this paper serves both to illustrate how alternate metrics of return predictability can lead to divergent conclusions, and to emphasize the importance of subjecting apparent findings of predictability to robustness checks.     

Using Expectations to Test Asset Pricing Models

Asset pricing models generate predictions relating assets' expected rates of return and their risk attributes. Most tests of these models have employed realized rates of return as a proxy for expected return. We use analysts' expected rates of return to examine the relation between these expectations and firm attributes. By assuming that analysts' expectations are unbiased estimates of market-wide expected rates of return, we can circumvent the use of realized rates of return and provide evidence on the predictions emanating from traditional asset pricing models. We find a positive, robust relation between expected return and market beta and a negative relation between expected return and firm size, consistent with the notion that these are risk factors. We do not find that high book-to-market firms are expected to earn higher returns than low book-to-market firms, inconsistent with the notion that book-to-market is a risk factor.     

The Reversal of Large Stock-Price Decreases

Extremely large negative 10-day rates of return are followed on average by larger-than-expected positive rates of return over following days. This price adjustment lasts approximately 2 days and is observed in a sample of firms that is largely devoid of methodological problems that might explain the reversal phenomenon. While perhaps not representing abnormal profit opportunities, these reversals present a puzzle as to the length of the price adjustment period. Such a slow recovery is inconsistent with the notion that market prices quickly reflect relevant information.     

The effect of personal taxes and dividends on capital asset prices: Theory and empirical evidence

This paper derives an after tax version of the Capital Asset Pricing Model. The model accounts for a progressive tax scheme and for wealth and income related constraints on borrowing. The equilibrium relationship indicates that before-tax expected rates of return are linearly related to systematic risk and to dividend yield. The sample estimates of the variances of observed betas are used to arrive at maximum likelihood estimators of the coefficients. The results indicate that, unlike prior studies, there is a strong positive relationship between dividend yield and expected return for NYSE stocks. Evidence is also presented for a clientele effect.     

Disability Risk Management and Postinjury Employment of Workers With Back Pain

We analyze the outcomes of occupational back pain among four large employers that use one or more of the following disability management practices: aggressive return to work, claims management, medical management, or time‐limited job accommodations. Outcomes measured at 6 and 12 months postonset include: duration of initial work absence and the probability of returning to stable employment. Employment outcomes are better in firms with more proactive return‐to‐work policies than in firms with more restrictive policies. We devise a statistical test for attrition bias and conclude that sample attrition does not significantly alter our results.     

The structure of bank relationships,endogenous monitoring,and loan rates

This paper investigates a firm's choice between borrowing from a single bank and from two banks. The focus is on how this decision affects banks' equilibrium monitoring intensities and loan rates. Two-bank lending suffers from duplication of effort and sharing of monitoring benefits, but it benefits from diseconomies of scale in monitoring. Thus, two-bank lending involves lower monitoring but not necessarily higher loan rates than single-bank lending. The optimal borrowing structure balances the benefit of monitoring for the firm in terms of higher success probability of the project against its drawbacks of lower expected private return and higher total monitoring costs. In contrast to the previous theoretical literature, the model lays down an explanation for the empirical observation that multiple-bank lending does not unambiguously increase loan rates or firms' quality, in particular in small business lending.     

The Relation Among Targets' R&D Activities, Acquirers' Returns, and In-Process R&D in the US

Abstract:  Using a sample of 129 mergers and acquisitions (M&As) in the US between publicly traded acquirers and targets in research and development (R&D) intensive industries over the period of 1994-2004 and a size- and industry-matched sample, we examine the relation among targets' R&D activities, the probability of acquirers' writing-off in-process R&D (IPRD), and acquirers' returns around the time of M&A announcements. We find that firms acquiring targets with higher R&D investments tend to write off some of the acquired R&D assets upon the completion of the M&As. We also find that the median cumulative abnormal return during the three days around M&A announcements for acquirers with subsequent IPRD write-offs is −2.73% while the return for acquirers without IPRD write-offs is −0.60%. This suggests that acquirers' stock returns around M&A announcements are much lower when investors expect acquirers to expense IPRD. The results are consistent with our conjecture that acquirers tend to write-off IPRD when they acquire overvalued targets. We also find that IPRD write-offs do not increase earnings or stock returns of acquirers after M&As, which is inconsistent with an earnings management hypothesis.     

JUNK BOND BEHAVIOR WITH DAILY RETURNS AND BUSINESS CYCLES

Using the Merrill Lynch daily junk bond index, we re-examine and extend previous junk bond return results. We include the effect of business cycles on junk and investment-grade bonds, the sensitivity of junk bond returns to economic activity and/or interest rates, and sample periods that allow us to investigate periods of reduced junk bond liquidity. Daily data confirm the same curious return behavior identified in studies using monthly returns. However, we reveal for the first time that junk bond returns track the movement of interest rates during economically good times but track stock returns during bad times.     

Can Time‐Varying Risk of Rare Disasters Explain Aggregate Stock Market Volatility?

Why is the equity premium so high, and why are stocks so volatile? Why are stock returns in excess of government bill rates predictable? This paper proposes an answer to these questions based on a time‐varying probability of a consumption disaster. In the model, aggregate consumption follows a normal distribution with low volatility most of the time, but with some probability of a consumption realization far out in the left tail. The possibility of this poor outcome substantially increases the equity premium, while time‐variation in the probability of this outcome drives high stock market volatility and excess return predictability.     

An improved test for statistical arbitrage

We improve upon the power of the statistical arbitrage test in Hogan, Jarrow, Teo, and Warachka (2004). Our methodology also allows for the evaluation of return anomalies under weaker assumptions. We then compare strategies based on their convergence rates to arbitrage and identify strategies whose probability of a loss declines to zero most rapidly. These strategies are preferred by investors with finite horizons or limited capital. After controlling for market frictions and examining convergence rates to arbitrage, we find that momentum and value strategies offer the most desirable trading opportunities.     

卖空威胁、公司融资扩张战略与违规行为

利用中国推出融资融券业务的准自然实验机会,本文以2010—2016年中国A股上市公司为样本,使用双重差分模型研究放松卖空限制对企业违规行为的影响。研究发现,融券业务允许市场中的知情投资者挖掘企业负面信息进行卖空,形成有效的卖空威胁,从而震慑企业,显著降低其发生违规行为的概率。具体而言,卖空交易行为跟企业违规行为的严重程度正相关;卖空交易行为能显著降低企业的超额收益率;当企业有进一步融资需求或并购扩张战略需求时,卖空威胁对企业的震慑作用更为显著。研究表明,融券业务带来的卖空威胁是企业外部监管的重要机制。     

Risk,Return, and Performance Measurement: A Case of Unrealistic Expectations?

Client criteria imposed upon active asset management companies to hold only high-quality (HQ) investments in achieving specific Treasury-adjusted spreads and above-average rates of return effectively mandate a passive management policy and can be met only with very low probability. HQ investments do not consistently outperform either medium (MQ) or low quality (LQ) investments over time regardless of whether returns are measured monthly, quarterly, or yearly. Further, both time series and cross-sectional results show that HQ sectors are generally associated with ex post returns that are lower than those for either MQ or LQ sectors. Finally, HQ sectors do not outperform MQ and LQ sectors in consistently surpassing Treasury spreads or crediting rates. These results suggest that periodic evaluation of asset performance in light of such stringent criteria misunderstands the dynamic nature of the market as well as fundamental risk/return relationships.     

Effect of Analysts' Optimism on Estimates of the Expected Rate of Return Implied by Earnings Forecasts

Recent literature has used analysts' earnings forecasts, which are known to be optimistic, to estimate implied expected rates of return, yielding upwardly biased estimates. We estimate that the bias, computed as the difference between the estimates of the implied expected rate of return based on analysts' earnings forecasts and estimates based on current earnings realizations, is 2.84%. The importance of this bias is illustrated by the fact that several extant studies estimate an equity premium in the vicinity of 3%, which would be eliminated by the removal of the bias. We illustrate the point that cross‐sample differences in the bias may lead to the erroneous conclusion that cost of capital differs across these samples by showing that analysts' optimism, and hence, bias in the implied estimates of the expected rate of return, differs with firm size and with analysts' recommendation. As an important aside, we show that the bias in a value‐weighted estimate of the implied equity premium is 1.60% and that the unbiased value‐weighted estimate of this premium is 4.43%.     

Top management turnover an empirical investigation of mutual fund managers

This paper examines the relation between the replacement of mutual fund managers and their prior performance. Using the growth rate in a fund's asset base and its portfolio returns as two separate measures of performance, I document an inverse relation between the probability of managerial replacement and fund performance. The sample of departing fund managers exhibits higher portfolio turnover rates and higher expenses relative to an objective-matched sample of nonreplaced fund managers. The overall evidence is consistent with the presence of well-functioning internal and external market mechanisms for mutual fund managers.