Skewness preferences,asset prices and investor sentiment

Prior research has found that investors have strong preferences for stocks with positive skewness. These preferences have been shown to lead to price premiums and subsequent underperformance. This study extends this growing body of literature by testing whether the underperformance of stocks with positive skewness is driven by periods of high investor sentiment. The motivation for these tests is based on a broad literature in Psychology that an individual’s mood can directly affect the individual’s subjective probability assessments. In the framework of our tests, more optimism among investors may strengthen investors’ skewness preferences. The empirical results in this study support this idea as the underperformance of positively skewed stocks is shown to be primarily driven by periods of high investor sentiment.     

Short interest and the stock market relation with news sentiment from traditional and social media sources

We examine how the stock market relation to news sentiment—from traditional and social media (Twitter) sources—interacts with short selling of stocks. Our sample includes the S&P500 constituents for the period January 2016 to December 2020, providing 704,452 firm-day observations. We find evidence that both news sources are positively related to returns. The relationship is stronger for firms with a high short interest ratio, for small firms, and particularly for firms that are both small and highly shorted. This is consistent with short sellers targeting firms that are most responsive to (negative) news releases and so more likely to compensate for the additional costs encountered in shorting.     

The effect of Airbnb announcements on hotel stock prices

The sharing economy model that was developed in the last decade has a major effect on a different aspect of life. The purpose of this research is to test the effect of a sharing economy product on its competitors. Specifically, this study used the event study approach to examine how Airbnb announcements affected hotel stock prices. To accomplish this goal, we used 180 Airbnb announcements to investigate the general effect of Airbnb, and the effects according to the type of announcement and the type of audience. The findings indicate that general Airbnb announcements have a negative effect on the hotel stock prices. In addition, investors respond negatively to positive announcements but not to neutral ones. Finally, announcements targeting young people have no effect on the stock prices of hotel companies, while the effect of announcements targeting families lasts the longest. We also explored investment strategies for general investors and those with inside information. We suggest that general investors short sell the stock on the day of the news announcement. Investors with inside information should short sell the stock a few days before the day of the news announcement. In both cases, investors should close their positions a few days later depending on the type of announcement.     

Exchange market pressure,stock prices,and commodity prices in West Africa

As Africa continues its decade of rapid economic growth, the continent also faces the risk of becoming more susceptible to financial ‘contagion.’ Capital flows and trade linkages might cause one country’s currency market to influence those of its neighbors. Likewise, shocks to global commodity or asset markets might induce a crisis in one or more countries in the region. This study generates monthly measures of exchange market pressure (EMP) for four individual West African countries, as well as for the WAEMU franc zone, from 2002 to 2012. Vector Autoregressive (VAR) methods are then used to test for linkages among them, as well as to analyze the effects of various external price shocks. A number of spillovers are uncovered. More importantly, local connections dominate global ones in the case of stock- and commodity-price declines. Ghana, for example, is shown to be a ‘commodity currency’ when West African commodity prices are included in the VAR, but not when a global index is used.     

Labor market search, sticky prices, and interest rate policies

What accounts for the significant real effects of monetary policy shocks? And what accounts for the persistent and hump shaped responses of output and inflation in response to such shocks? These questions are investigated in a model that incorporates labor market search, habit persistence, sticky prices, and policy inertia. While habit persistence and price stickiness are important for the hump shaped output response and the long, drawn out inflation response, respectively, labor market frictions increase the output response and reduce the inflation response relative to an otherwise similar model based on a Walrasian labor market. Significantly, policy inertia itself is found to be the most important factor in accounting for the magnitude of the output effects of policy shocks in the model.     

The evolution of stock market efficiency in the US: a non-Bayesian time-varying model approach

A non-Bayesian time-varying model is developed by introducing the concept of the degree of market efficiency that varies over time. This model may be seen as a reflection of the idea that continuous technological progress alters the trading environment over time. With new methodologies and a new measure of the degree of market efficiency, we examine whether the US stock market evolves over time. In particular, a time-varying autoregressive (TV-AR) model is employed. Our main findings are: (i) the US stock market has evolved over time and the degree of market efficiency has cyclical fluctuations with a considerably long periodicity, from 30 to 40 years; and (ii) the US stock market has been efficient with the exception of four times in our sample period: during the long recession of 1873–1879; the recession of 1902–1904; the New Deal era; and the recession of 1957–1958 and soon after it. It is then shown that our results are partly consistent with the view of behavioural finance.     

Information in stock prices: the case of the 2016 U.S. presidential election

On the day before the 2016 U.S. presidential election, the odds of Hillary Clinton winning the presidency, according to political prediction markets, were above 90%. Surprisingly, Donald Trump won the Electoral College handily. In this study, we examine how movements in specific stock prices foreshadowed the eventual outcome. Specifically, we conduct a series of standard event-study tests focused on pharmaceutical companies, which became a focal point during the presidential campaign. Results show that while stocks of pharmaceutical companies significantly underperformed the market prior to the election, prices substantially increased beginning three days before the election outcome. This increase is both statistically significant and economically meaningful and robust to various event-study methodologies. These results suggest that some sectors of the stock market seemed to anticipate the election outcome.     

International stock market efficiency: a non-Bayesian time-varying model approach

This article develops a non-Bayesian methodology to analyse the time-varying structure of international linkages and market efficiency in G7 countries. We consider a non-Bayesian time-varying vector autoregressive (TV-VAR) model, and apply it to estimate the joint degree of market efficiency in the sense of Fama (1970, 1991). Our empirical results provide a new perspective that the international linkages and market efficiency change over time and that their behaviours correspond well to historical events of the international financial system.     

Housing prices,stock prices and the US economy

This paper studies the relationship between housing prices, stock prices, interest rates and aggregate output in the US using monthly data from 1993 to 2014. Evidence from causality tests and a variance decomposition procedure suggest that stock prices have a much larger effect on aggregate output in the US economy than do either housing prices or interest rates. Instead, the wealth effect created by changes in stock prices has a relatively large impact on US aggregate output. Separate estimations and variance decompositions for the sample periods 1993–2001, 2002–2008 and 2009–2014 show that the impact of housing prices relative to stock prices has been waning over time.     

Collective fineness of stock prices and efficiency of financial markets

Recent literature exploring the efficiency properties of options has examined the conditions under which incomplete financial markets would be equivalent to the Arrow-Debreu model. A usual assumption made in establishing such an equivalence is that some security price is ‘fine’ on the state space. This assumption is relaxed. Under more realistic assumptions it is shown that any portfolio is fine and options written on it can bring about complete markets.     

Testing for cointegration with threshold effect between unemployment and stock prices

Under the dominant role of a belief function, Farmer argues that the stock market is the Granger cause of the unemployment rate, which implies that the natural rate hypothesis is an outdated idea. This article provides some new empirical evidence supporting this view using threshold cointegration and asymmetric error correction models. The results show that these models can assess asymmetric dynamics between unemployment and the stock market. Moreover, regime switches of the momentum threshold autoregressive adjustment specification are highly consistent with recessions in the US economy during the last 60 years.     

The effect of FOMC statements on asset prices

Given their increased importance during recent years, FOMC (Federal Open Market Committee) statements can have a significant impact on asset prices. To capture the effect of FOMC statements on asset prices, an indicator variable is created that takes into account the information content of policy statements. Results show that both ‘interest rate surprises’ and ‘FOMC statements’ affect the mean and the volatility of asset prices. The volatility impact is tent-shaped, jumping within the policy announcement interval and declining before and after the release. FOMC statements have a much more pronounced impact on stock returns, intermediate and long-term yields, while short-term rates are largely driven by target rate decisions. We also find that the evolution of the language of the FOMC statements does matter to market participants and, in particular, the ‘forward-looking’ language adopted in mid-2003 has reduced market volatility associated with ‘interest rate surprises’ on announcement days.     

Currency exposures of the oil and natural gas stock prices in the Hushen-300 stock market： A nonlinear model approach

The paper embarks to investigate the relationship between currency risk and stock prices of the oil and natural gas exploitation industry in the value-weighted Hushen-300 stock market, by applying the standard Capital Asset Pricing Model （CAPM） and nonlinear exchange rate exposure model to the Renminbi against US dollar. The results show that the currency exposure does vary in the oil-gas stock prices throughout the bull and bear market. The study suggests that the models of the equilibrium exchange rate exposure must be extended to considering the nonlinear exchange rate exposure, the regime periods of bull and bear market, and the industry types that is sensitive to the currency exposures. The nonlinear dynamic relationship between the exchange rate changes and the Chinese energy stock prices throughout the bull and bear market add to the recent empirical evidences that foreign exchange markets and stock markets are closely correlated.     

国内外能源相对价格与中国的能源效率

提高能源效率是实现经济可持续发展和减少污染排放的根本途径。基于非线性平滑转换模型的分析显示,能源价格对能源效率的影响机制存在非线性的平滑转换。机制转换的主要引导因素是国内外能源价格指数的相对变化,机制转换的阈值近似为1。目前我国能源价格对能源效率的影响比较接近高效机制运行,增强能源价格的灵活性,可以实现能源消费者的自我选择,是提高我国能源效率的可行选择。     

Asymmetric responses of house prices to changes in the mortgage interest rate: evidence from the Australian capital cities

We examine the dynamic and asymmetric responses of house prices to changes in mortgage interest rates in Australia from January 1995 to November 2017. We propose a threshold intervention model to distinguish between the effects of positive versus negative changes in the standard variable interest rate. The results indicate that rising interest rates decrease house prices more than falling interest rates increase them. For example, a 1% decrease in interest rates increases Sydney’s house prices by 0.7%, whereas a 1% increase leads to a 1.5% fall. The findings also support the view that when interest rates are on the rise, house prices in larger capital cities such as Sydney and Melbourne fall faster than in their smaller counterparts. Our findings imply that a rise in interest rates may thus lead to sharp, fast and significant falls in house prices, a phenomenon which will not simply be a symmetric unwinding of earlier price increases.     

会计信息披露与资本市场效率的关系研究

会计信患披露及其公开程度是影响资本市场资源配置效率、运行效率等的关键性因素。为促使我国资本市场良好的发展,本文分析了会计信息披露与资本市场效率之闻的相互关系,并提出了建立完善会计信息披露制度,提高资本市场效率的有力措施。     

The weak form market efficiency investigation of American,European and Asian stock markets

This paper investigates the empirical validity of the Weak Form Efficient Market Hypothesis for American, European and Asian stock markets. Random Walk Hypothesis is used to prove weak form efficiency in American, European and Asian stock indices. ADF and PP Unit Root Tests have been used to test unit root in time series of daily data of American, European and Asian stock indices. Results show that sample of stock markets are weak-form efficient in terms of the Random Walk Hypothesis.     

我国利率市场化与证券市场动态变迁的分析

在市场经济中,利率市场化对证券金融市场的改革和发展有着重要而深远的意义。目前,我国利率市场化改革已经进入实质性的攻坚阶段由,由实行利率管制逐步演化到利率市场化。探究我国利率市场化与证券市场动态变迁的实质性关系,阐明我国利率市场化作用于证券市场的机制、改革进程及风险防范,对建构科学、健康、有序的证券市场有借鉴意义。     

Unconventional monetary policy,liquidity trap,and asset prices

This article offers a fundamental critique of monetary policy implemented in the United States following the 2007–8 global financial crisis. It aims to show that the misunderstanding of the mainstream theoretical thinking underlying monetary policy actions led to the ineffectiveness of the policy response to the 2007–8 global financial crisis. The conventional view that monetary policy is the stabilization tool has serious flaws and is ineffective for bringing about economic recovery. The Federal Reserve’s experiment with the so-called unconventional monetary policy exposed the weakness of the conventional belief in understanding how banks operate, how the monetary authority can influence the yield curve, and how the monetary transmission mechanism works, resulting in prescribing an ineffective treatment to boost economic activity. In this regard, it is argued that the Federal Reserve’s decision to let long-term interest rates be market determined represents a significant self-imposed constraint, which limits policy options regarding monetary policy actions and the effective control of long-term interest rates. By limiting the setting of policy rates only to the overnight interest rate, the ability of the monetary authority to influence long-term interest rates is both weak and indirect.     

US stock market sensitivity to interest and inflation rates: a quantile regression approach

This article studies the sensitivity of the US stock market to nominal and real interest rates and inflation during the 2003–2013 period using quantile regression (QR). The empirical results show that the stock market has a significant sensitivity to changes in interest rates and inflation and finds differences across sectors and over time. Moreover, the effect of changes in both interest rates and inflation tends to be more pronounced during extreme market conditions, thus distinguishing expansion periods from recession periods.