Does investor sentiment predict bitcoin return and volatility? A quantile regression approach

The study investigates hypotheses relating to the effect of investor sentiment on predicting bitcoin returns and volatility. Using moments quantile regression, we present robust empirical evidence for the period 2017–2021. Our findings demonstrate that investor interest and emotions are significant predictors of bitcoin returns and volatility, while VIX and Bitcointalk.org forum are the most suitable predictors for representing investor emotions and interest, respectively. The findings also indicate a nonlinear relationship between investor sentiment and bitcoin returns and volatility, with predictable power changing based on the market conditions. Thus, the study enriches existing literature by providing empirical evidence to affirm the viability of behavioral finance theories in the bitcoin market and complements investors with more information to seek profits in different market conditions.     

Aggregate investor preferences and beliefs: A comment

A recent study in this journal presents encouraging results of a daunting simulation analysis of the statistical properties of a centered bootstrap approach to stochastic dominance efficiency analysis. However, by relying on the first-order optimality condition in a situation where multiple optima may occur, the empirical analysis draws the questionable conclusion that some of the toughest data sets in empirical asset pricing can be rationalized by the representative investor maximizing an S-shaped utility function, consistent with the so-called Prospect Stochastic Dominance criterion. Further research could be directed to developing global optimization algorithms and consistent re-sampling methods for statistical inference for general risky choice problems.     

A behavioral analysis of investor diversification

This paper studies the link between individual investors’ portfolio diversification levels and various personal traits that proxy informational advantages and overconfidence. The analysis is based on objective data from the largest Turkish brokerage house tracking 59,951 individual investors’ accounts with a total of 3,248,654 million transactions over the period 2008–2010. Wealthier, highly educated, older investors working in the finance sector and those trading relatively often show higher diversification levels possibly because they are better equipped to obtain and process information. Finance professionals, married investors, and those placing high-volume orders through investment centers show poorer diversification possibly as a reflection of overconfidence. Our analysis reveals important nonlinear effects, implying that the marginal impact of overconfidence on diversification is not uniform across investors but varies according to the investor's information gathering and processing abilities.     

A description of farmland investor expectations

We consider how best to characterize agricultural real estate market participants' expectation formation mechanism. The expectation formation mechanism links current agricultural policies to asset prices and tells us how current policies change expectations for future transfers. We examine behavior of real estate prices and returns using the present value model. We derive estimable equations incorporating two rival expectation formation mechanisms: rational and adaptive expectations. Assuming rational expectations, the present value model yields parameter estimates that imply the model should be rejected. Instead of rejecting the present value model while maintaining the rational expectations hypothesis, we let the data reveal which expectations hypothesis best fits the data. When we assume the rival hypothesis, the model yields parameter estimates that conform to adaptive expectations.     

Firm financial behaviour dynamics and interactions: A structural vector autoregression approach

This paper investigates the dynamic interactions of firms' financial behaviours using a five-variable structural vector autoregression (SVAR) framework. We provide empirical evidence that firms' financial behaviours are jointly determined. We demonstrate that a single-equation analysis on one financial behaviour generates biased estimates. We find that firms deviate from the desired level of each financial characteristic to absorb shocks to the other financial characteristics. Following such deviations, the characteristics revert in subsequent periods. Among these inter-related financial behaviours, equity decisions are the most independent, followed by dividend target, investment, and leverage target. Although firms prioritize financial behaviours differently, it appears that there is neither one financial behaviour that firms use only to absorb shocks nor one that never responds to the others.     

公司社会声望与高管薪酬:公共服务抑或职业声誉

本文基于“隐性—显性”契约激励研究范式,探讨公司社会声望对高管薪酬的影响以及作用机制。本文选取2009—2017年间的非金融A股上市公司为样本,研究发现,拥有较高社会声望的公司,其高管显性薪酬较低。具体而言,公共地位较高的国有企业、具有较高市场声誉的民营上市公司,其高管薪酬平均而言分别比其他上市公司低4.97%和6.30%。进一步地,我们发现公司声望对我国高管显性薪酬契约存在两种作用机制:一方面,公共地位较高的国有企业,可以为高管带来较高的社会声誉和社会认可,满足了“公共服务”类高管的社会声望偏好,从而降低了显性薪酬的支付水平;另一方面,市场声誉较高的民营企业,可以为高管带来较高的职业声誉和未来职业利益,符合“以商为荣”类高管的社会声望偏好,使高管愿意接受较低的显性薪酬。本文的结论为公司声望作为一种有价值的资源,可以对高管显性薪酬形成议价能力提供了重要证据,揭示了公司声望对高管显性契约激励的影响路径;同时,为国有企业高管薪酬契约设计以及激励机制提供了一定启示。     

公司社会声望与高管薪酬:公共服务抑或职业声誉

本文基于"隐性—显性"契约激励研究范式,探讨公司社会声望对高管薪酬的影响以及作用机制。本文选取2009—2017年间的非金融A股上市公司为样本,研究发现,拥有较高社会声望的公司,其高管显性薪酬较低。具体而言,公共地位较高的国有企业、具有较高市场声誉的民营上市公司,其高管薪酬平均而言分别比其他上市公司低4.97%和6.30%。进一步地,我们发现公司声望对我国高管显性薪酬契约存在两种作用机制:一方面,公共地位较高的国有企业,可以为高管带来较高的社会声誉和社会认可,满足了"公共服务"类高管的社会声望偏好,从而降低了显性薪酬的支付水平;另一方面,市场声誉较高的民营企业,可以为高管带来较高的职业声誉和未来职业利益,符合"以商为荣"类高管的社会声望偏好,使高管愿意接受较低的显性薪酬。本文的结论为公司声望作为一种有价值的资源,可以对高管显性薪酬形成议价能力提供了重要证据,揭示了公司声望对高管显性契约激励的影响路径;同时,为国有企业高管薪酬契约设计以及激励机制提供了一定启示。     

Mutual fund flows and investor returns: An empirical examination of fund investor timing ability

We examine the timing ability of mutual fund investors using cash flow data at the individual fund level. Over 1991–2004 equity fund investor timing decisions reduce fund investor average returns by 1.56% annually. Underperformance due to poor timing is greater in load funds and funds with relatively large risk-adjusted returns. In particular, the magnitude of investor underperformance due to poor timing largely offsets the risk-adjusted alpha gains offered by good-performing funds. Investors in both actively managed funds and index funds exhibit poor investment timing. We demonstrate that our empirical results are consistent with investor return-chasing behavior.     

Aggregate investor preferences and beliefs in stock market: A stochastic dominance analysis

This paper analyzes whether the market portfolio is efficiently related to benchmark portfolios formed on size, value, momentum and reversal with various utility theories by using stochastic dominance criteria. The results support the prospect theory including assumption of loss aversion at monthly and yearly horizons, which indicates the market utility is S-shaped, and steeper for losses than for gains. And, the findings do not provide convincing evidence for positive skewness preference. Therefore, it should probe into asset pricing model and financial puzzles by prospect theory preferences. It may thus be difficult for the market to benefit from the asset through its features on skewness or other higher order central moment. We also develop several bootstrap procedures with favorable properties in statistical size and power for testing stochastic dominance efficiency.     

Automobile replacement: a dynamic structural approach

This article specifies and estimates a structural dynamic model of consumer demand for new and used durable goods. Its primary contribution is to provide an explicit estimation procedure for transaction costs. Identification of transaction costs is achieved from the variation in the share of consumers choosing to hold a given car type each period, and from the share of consumers choosing to purchase the same car type that period. Specifically, I estimate a random‐coefficient discrete‐choice model that incorporates a dynamic optimal stopping problem. I apply this model to evaluate the impact of scrappage subsidies on the Italian automobile market.     

The dynamic effects of monetary policy: A structural factor model approach

A structural factor model for 112 US monthly macroeconomic series is used to study the effects of monetary policy. Monetary policy shocks are identified using a standard recursive scheme, in which the impact effects on both industrial production and prices are zero. The main findings are the following. First, the maximal effect on bilateral real exchange rates is observed on impact, so that the “delayed overshooting” puzzle disappears. Second, after a contractionary shock prices fall at all horizons, so that the price puzzle is not there. Finally, monetary policy has a sizable effect on both real and nominal variables.     

The impact of investor sentiment on crude oil market risks: evidence from the wavelet approach

Investor sentiment has become an important factor affecting oil price volatility and extreme risk. Therefore, we utilise a VaR-GARCH model to detect the extreme risk of the crude oil market during 2007–2017, and then explore the causality between investor sentiment and extreme risk in the crude oil market, and their lead-lag and co-movement relationships in the time-frequency domain. The empirical results show that: firstly, investor sentiment leads downside risk but lags the upside risk in the crude oil market; secondly, in the time domain, there is a co-movement between investor sentiment and extreme risk in the crude oil market, in particular, investor sentiment may Granger cause extreme risk in the crude oil market at the 1% significance level but not vice versa; thirdly, in the frequency domain, weak coherence can be found in high-frequency bands but increases in low-frequency bands during the whole sample period, which indicates that the impact of investor sentiment on extreme risk in the crude oil market will last for a long time, although the affected period tends to decrease.     

Investor activism and takeovers

Recent work documents large positive abnormal returns when a hedge fund announces activist intentions regarding a publicly listed firm. We show that these returns are largely explained by the ability of activists to force target firms into a takeover. For a comprehensive sample of 13D filings by portfolio investors between 1993 and 2006, announcement returns and long-term abnormal returns are high for targets that are ultimately acquired, but not detectably different from zero for firms that remain independent. Firms targeted by activists are more likely than control firms to get acquired. Finally, activist investors’ portfolios perform poorly during a period in which market wide takeover interest declined.     

审计师规模与审计质量:声誉视角

本文基于2010年至2013年的四个公司舞弊事件,考察了声誉受损后的审计师变更情况,发现:市场并没有用"及时离开"来惩罚声誉受损的审计师,使其失去准租,审计师的执业资格直接决定了其能否继续获取准租。我们的讨论,是对De Angelo(1981b)审计师规模与审计质量的补充与修正,将有助于更好地理解审计师规模与审计质量之间的传导机制,丰富规模与质量的理论体系。     

Flight-to-safety and retail investor behavior

Flight-to-safety (FTS) episodes are associated with substantial yet short-lived changes in expected returns on equities and bonds. These price changes are typically surrounded by active trading and/or risk transfer between different investors. Using aggregate net exchanges, flows from bond to equity mutual funds, in the US for a period 1984 until 2015, I empirically investigate retail investor behavior around FTS episodes. Overall, I find a reversal statistical relation between net exchanges and market excess returns. A one-standard-deviation shock to net exchanges leads to an increase of market excess return of 1.75%, of which 72% is reversed within 5 months. In particular, FTS episodes are preceded by periods where more risk averse investors, e.g. retail investors, rebalance their portfolios towards risky assets. A trading strategy that is based on signals from past net exchanges outperforms the market portfolio, significantly during FTS periods by 1.4% monthly. However, I find that the observed reversal relationship is not necessarily due to price ‘noise’ induced by uninformed trading. It is more reasonable that the sudden increase in market stress and selling of risky assets is caused by other demand/supply shocks driven by increased economic uncertainty.     

Earnings management and investor protection: an international comparison

This paper examines systematic differences in earnings management across 31 countries. We propose an explanation for these differences based on the notion that insiders, in an attempt to protect their private control benefits, use earnings management to conceal firm performance from outsiders. Thus, earnings management is expected to decrease in investor protection because strong protection limits insiders’ ability to acquire private control benefits, which reduces their incentives to mask firm performance. Our findings are consistent with this prediction and suggest an endogenous link between corporate governance and the quality of reported earnings.