Market Timing With Moving Averages

I present evidence that a moving average (MA) trading strategy has a greater average return and skewness as well as a lower variance compared to buying and holding the underlying asset using monthly returns of value‐weighted US decile portfolios sorted by market size, book‐to‐market, and momentum, and seven international markets as well as 18,000 individual US stocks. The MA strategy generates risk‐adjusted returns of 3–7% per year after transaction costs. The performance of the MA strategy is driven largely by the volatility of stock returns and resembles the payoffs of an at‐the‐money protective put on the underlying buy‐and‐hold return. Conditional factor models with macroeconomic variables, especially the default premium, can explain some of the abnormal returns. Standard market timing tests reveal ample evidence regarding the timing ability of the MA strategy.     

Flight-to-liquidity: Evidence from China's stock market

In an order-driven and strictly regulated stock market, illiquidity risks' effects on asset pricing should be highlighted, particularly in such extreme market conditions as those in China. This paper utilizes panel data from China's stock market in an attempt to answer whether the illiquidity risk in various dimensions—including price impacts, the transaction speed, trading volume, transaction costs, and asymmetric information—can explain stock returns. We find that almost all dimensions of stock illiquidity are positively associated with excess stock returns. More importantly, smaller, less-liquid stocks suffer more liquidity costs, providing a strong evidence for “flight-to-liquidity.” Additionally, the transaction costs and asymmetric information, denoted by bid-ask spreads, robustly account for these illiquidity effects on stock pricing and differ from the findings in the U.S. market. We also find that the “flight-to-liquidity” can partially explain the idiosyncratic volatility puzzle, investors' gambling, and herding psychologies. This study provides substantial policy implications in regulation and portfolio management for emerging markets.     

Environmental,Social, and Governance (ESG) Profiles,Stock Returns,and Financial Policy: Australian Evidence

This study investigates the independent effects of environmental (E), social (S), corporate governance (G), and the composite ESG ratings on stock returns and corporate financing decisions of the largest stocks in the Australian equity market. Firms with high composite ESG ratings tend to increase their leverage. For the individual ratings, we find different inferences: firms with low E and high G ratings tend to raise less debt. Firms with high G ratings hold less cash, while those with low G ratings have lower dividend payouts. S ratings have no impact on corporate financing decisions. There appears to be no significant difference in risk‐adjusted returns for portfolios based on ESG ratings, effectively indicating that there is no cost of ESG investment.     

非流通股价值、股改对价与解禁股减持回报

本文以2002—2006年A股非ST类上市公司的388笔非流通股交易为研究对象,得出以下主要结论:第一,非流通股转让价格仅仅是当日非流通股交易价格的0.336;非流通股转让价格相对于流通股价格的比率受非流通股比例的负面影响;第二,此轮股权分置改革对价大多集中于10送3.07股,远低于合理送股对价水平,实际送股数量难以保证流通股股东的合理经济利益。进一步的分析也表明,股改前非流通股比例、非流通股转让价格比例是影响大小非套现回报率的重要因素。     

Regime‐switching in stock index and Treasury futures returns and measures of stock market stress

We investigate bivariate regime‐switching in daily futures‐contract returns for the US stock index and ten‐year Treasury notes over the crisis‐rich 1997–2005 period. We allow the return means, volatilities, and correlation to all vary across regimes. We document a striking contrast between regimes, with a high‐stress regime that exhibits a much higher stock volatility, a much lower stock–bond correlation, and a higher mean bond return. The high‐stress regime is associated with higher average values of stock‐implied volatility, stock illiquidity, and stock and bond futures trading volume. The lagged implied volatility from equity‐index options is useful in modeling the time‐varying transition probabilities of the regime‐switching process. Our findings support the notions that: (1) stock market stress can have a material influence on Treasury bond pricing, and (2) the diversification benefits of combined stock–bond holdings tend to be greater during times with relatively high stock market stress. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 30:753–779, 2010     

Capital market efficiency and the relationship between equity returns, interest rates, and monetary aggregates in Australia

This paper examines the efficiency with which the Australian share market incorporates new information relating to interest rates and the monetary aggregates into share prices. It finds a strong relationship between medium term government security yields and equity returns although little relationship could be found between unanticipated changes in the monetary aggregates and share returns. Furthermore, the interest rate relationship involved long lags and suggests inefficiency in stock market pricing in Australia.     

Aggregate Volatility and Market Jump Risk: An Option‐Based Explanation to Size and Value Premia

It is well documented that stock returns have different sensitivities to changes in aggregate volatility, however less is known about their sensitivity to market jump risk. By using S&P 500 crash‐neutral at‐the‐money straddle and out‐of‐money put returns as proxies for aggregate volatility and market jump risk, I document significant differences between volatility and jump loadings of value versus growth, and small versus big portfolios. In particular, small (big) and value (growth) portfolios exhibit negative (positive) and significant volatility and jump betas. I also provide further evidence that both volatility and jump risk factors are priced and negative. © 2012 Wiley Periodicals, Inc. Jrl Fut Mark 34:34–55, 2014     

Size,value, and momentum in emerging market stock returns

In this paper, we examine value and momentum effects in 18 emerging stock markets. Using stock level data from January 1990 to December 2011, we find strong evidence for the value effect in all emerging markets and the momentum effect for all but Eastern Europe. We investigate size patterns in value and momentum. After forming portfolios sorted on size and book-to-market ratio, as well as size and lagged momentum, we use three well-known factor models to explain the returns for these portfolios based on factors constructed using local, U.S., and aggregate global developed stock markets data. Local factors perform much better, suggesting emerging market segmentation.     

Is there an illiquidity premium in frontier markets?

We perform a comprehensive examination of the role of stock-level liquidity in the cross-section of frontier market stock returns. Using several popular liquidity measures and a battery of asset pricing tests, we investigate the illiquidity premium in 22 countries for the years 1991–2019. Contrary to typical relationships in developed and emerging markets, we find no evidence of illiquidity premium in frontier equities. Our findings support the hypothesis that for countries not fully integrated with the global economy, the diversification benefits offset the illiquidity, which, in turn, proves less important.     

Outsourcing and the US Labour Market

There is worldwide concern about the vulnerability of the current labour force to displacement by future imported services. In the USA, some have suggested that as much as one‐third of the workforce might be vulnerable to such outsourcing. However, the labour market impacts of this displacement are difficult to assess using purely analytical or statistical approaches. In this paper, simulation methods are used to understand how sensitive the US economy and labour market are to increases in services imports. Specifically, the scenario examined assumes that the share of imported services in total employment increases from 0.8 per cent to 7.25 per cent over a time horizon in which workers are unable to change occupations. In response, it is found that all industries increase their use of imported services and their use of the composite input that is comprised of imported services and tradable labour. With the exception of legal workers, all workers in tradable occupations experience declines in their real wages. Demand for non‐tradable occupations labour rises in the industries that expand the most, while demand falls in shrinking industries. The non‐tradable occupations that are used intensively in the shrinking industries experience declines in real wages, while the real wages rise for workers in non‐tradable occupations used intensively in the expanding industries.     

不同目标类型的开放式基金收益率特征分析

本文利用传统的单指数模型和ARCH模型，分析了开放式基金的收益率的统计特征、ARCH效应及与股价指数的关系。实证结果表示开放式基金的收益率基本具备GARCH(1，1)特征，与股价指数有较强的相关性，但不同目标的开放式基金与股指的关系有所差异，说明基金管理公司在选择投资组合上与基金目标较为一致。有超过一半的样本基金的平均收益率低于同期股指收益率，盈利能力不甚理想。     

Volatilities in emerging MENA stock markets

This article examines the interrelationships among the emerging stock markets of the Middle East and North Africa (MENA) region, as well as the relationship between each MENA stock market and the larger and more developed markets of Europe and the United States. It explores whether MENA stock markets can offer international investors unique risk/return characteristics to diversify international and regional portfolios. This study adds to the existing literature by focusing—for the first time— on the dynamic relationships in the volatilities of the returns in MENA stock markets. The econometric part of the article uses the causality‐in‐variances GARCH model, the TARCH and ARCH‐M models, and VAR analysis to model conditional volatilities in stock market returns and the dynamic responses of volatilities to innovations in conditional variances. © 2006 Wiley Periodicals, Inc.     

基于资产价值链的股票定价模型实证研究

从股票价格的形成过程入手提出可交易价值的概念,指出名义股价、流动性和波动性是其可能的影响因素。接着运用面板数据分析法对我国股市的周交易数据进行实证,发现可交易价值对股票的定价行为具有解释能力,且在不同市场环境下的表现形式不同:上涨行情中投资者偏好低价格、高流动和高波动的股票组合,下跌行情中则相反;走势平稳的市场中名义股价因子影响力最强,而流动性因子和波动性因子则在急涨急跌背景下更具影响力。     

Timing the Market with a Combination of Moving Averages

A combination of simple moving average trading strategies with several window lengths delivers a greater average return and skewness as well as a lower variance and kurtosis compared with buying and holding the underlying asset using daily returns of value‐weighted US decile portfolios sorted by market size, book‐to‐market, momentum, and standard deviation as well as more than 1000 individual US stocks. The combination moving average (CMA) strategy generates risk‐adjusted returns of 2% to 16% per year before transaction costs. The performance of the CMA strategy is driven largely by the volatility of stock returns and resembles the payoffs of an at‐the‐money protective put on the underlying buy‐and‐hold return. Conditional factor models with macroeconomic variables, especially the market dividend yield, short‐term interest rates, and market conditions, can explain some of the abnormal returns. Standard market timing tests reveal ample evidence regarding the timing ability of the CMA strategy.     

Machine learning portfolios with equal risk contributions: Evidence from the Brazilian market

We investigate the use of machine learning (ML) to forecast stock returns in the Brazilian market using a rich proprietary dataset. While ML portfolios can easily outperform the local market, the performance of long-short strategies using ML is hampered by the high volatility of the short portfolios. We show that an Equal Risk Contribution (ERC) approach significantly improves risk-adjusted returns. We further develop an ERC approach that combines multiple long-short strategies obtained with ML models, equalizing risk contributions across ML models, which outperforms, on a risk-adjusted basis, all individual ML long-short strategies, as well as alternative combinations of ML strategies.     

Abnormal trading volume and autoregressive behavior in weekly stock returns in the Saudi stock market

This paper examines the relationship between the abnormal change in trading volume of both individual stocks and portfolios and short-term price autoregressive behavior in the Saudi stock market (SSM). Our objective is to investigate the informational role that trading volume plays in predicting the direction of short-term returns. We evaluate whether the abnormal change in lagged, contemporaneous, and lead turnovers affects serial correlation in returns. Specifically, we examine if and when the change in volume produces momentum (positive correlation) or reversal (negative autocorrelation) in consecutive weekly stock returns.We find a reversal in weekly stock returns when conditioned on the change in lagged volume in the SSM. Our results are consistent for the whole sample, the two sub-sample periods, and the large- and small-firm portfolios. The results are consistent with Campbell, Grossman, and Wang [Campbell, J. Y., S. J. Grossman, and J. Wang, 1993, Trading volume and serial correlation in stock returns, Quarterly Journal of Economics, 108, 905–939], who present a model in which risk-averse market makers accommodate the selling pressure of liquidity or non-informational traders. We also find that reversal is more pronounced with the loser portfolio as specified by filter-based methodology. The overall result of this paper is also consistent with the empirical findings of Conrad, Hameed, and Niden [Conrad, J., A. Hameed, and C. Niden, 1994, Volume and autocovariances in short-horizon individual security returns, Journal of Finance 49, 1305–1329.] and Gebka [Gebka, B., 2005, Dynamic volume-return relationship: evidence from an emerging market, Applied Financial Economics, 15, 1019–1029] in which they report price reversal for stock with high trading volume.     

When in peril, retrench: Testing the portfolio channel of contagion

The impact of past gains and losses on international investors' risk aversion is an important factor in the propagation of financial shocks across countries. We first present a stylized model illustrating how changes in investors' risk aversion affect portfolio decisions and stock prices. We then examine empirically the behavior of international mutual funds. When funds' returns are below average, they reduce their exposure to countries in which they were overweight and vice versa. An index of “financial interdependence” that reflects the extent to which countries share overexposed funds helps explain the pattern of stock market comovement across countries and the pattern of contagion during crises.     

SUPERHEDGING IN ILLIQUID MARKETS

We study superhedging of securities that give random payments possibly at multiple dates. Such securities are common in practice where, due to illiquidity, wealth cannot be transferred quite freely in time. We generalize some classical characterizations of superhedging to markets where trading costs may depend nonlinearly on traded amounts and portfolios may be subject to constraints. In addition to classical frictionless markets and markets with transaction costs or bid‐ask spreads, our model covers markets with nonlinear illiquidity effects for large instantaneous trades. The characterizations are given in terms of stochastic term structures which generalize term structures of interest rates beyond fixed income markets as well as martingale densities beyond stochastic markets with a cash account. The characterizations are valid under a topological condition and a minimal consistency condition, both of which are implied by the no arbitrage condition in the case of classical perfectly liquid market models. We give alternative sufficient conditions that apply to market models with general convex cost functions and portfolio constraints.     

The Effects of Ownership Structure on Corporate Financing Decisions: Evidence from Stock Market Liberalization

We analyze the impact of firm‐specific stock market liberalization events on the capital structure and debt maturity decisions of firms from emerging market economies. We differentiate between firms based on their ownership structures at the time of liberalization and analyze their post‐liberalization behavior regarding corporate financing decisions. Our empirical results show that single–class‐share firms (typically with stronger corporate governance and better information environments) respond differently to their dual–class‐share counterparts. Liberalization results in lower debt reliance for the former group while the latter lengthen the maturity of their debt portfolios. Jel Classification: F30; G15; G32.     

Turnover and return in global stock markets

I study how growth affects liquidity of global stock exchanges and how liquidity determines cross-sectional returns on those stock exchange index portfolios. I measure portfolio liquidity by turnover ratio computed as value of shares traded over the market capitalization. I obtain data from FIBV, an association of global stock exchanges. In a multiple regression model for turnover ratio, I find age, size, type of exchange, competition for order flow, and growth rate to be significant determinants of portfolio liquidity; however, exchange- and time-specific effects are more appropriate for modeling portfolio liquidity. The time effects yield to three distinct regimes, while the exchange-specific effects are surrogates for the legal systems, English common law, and Civil laws of the countries. I estimate the parameters of a multiple regression model in a two-stage GLS framework in which index return is a function of turnover. The GLS method is preferable since a turnover ratio may have a non-stationary, random component. The significant determinants of index return are turnover and volatility, although some of the volatility effect may be a spillover from a January effect. Investors expect higher return from high turnover markets. However, the positive turnover expected return relation is true only in emerging markets; in developed markets expected return is a function of volatility. This result confirms existing empirical evidence that high turnover stock portfolios generate superior returns and further the sources and pricing of risk in emerging and developed markets are different.