The persistence of the small firm/January effect: Is it consistent with investors’ learning and arbitrage efforts?

Using improved methodology and an expanded research design, we examine whether the small firm/January effect (Keim, D. B. (1983). Size-related anomalies and stock return seasonality: further empirical evidence. Journal of Financial Economics 12:13–32), is declining over time due to market efficiency. First, we find that January returns are smaller after 1963–1979, but have simply reverted to levels that existed before that time. Second, we show that the January effect is not limited to mature markets but also appears in firms trading on the relatively new NASDAQ exchange in the 1970s. Third, trading volume for small firms in December and January is not different from other months, implying that traders are not actively arbitraging the anomaly. Together, our results suggest that this anomaly continues to defy rational explanation in an efficient market.     

WHAT DO WE KNOW ABOUT THE PROFITABILITY OF TECHNICAL ANALYSIS?

Abstract.  The purpose of this paper is to review the evidence on the profitability of technical analysis. The empirical literature is categorized into two groups, 'early' and 'modern' studies, according to the characteristics of testing procedures. Early studies indicate that technical trading strategies are profitable in foreign exchange markets and futures markets, but not in stock markets. Modern studies indicate that technical trading strategies consistently generate economic profits in a variety of speculative markets at least until the early 1990s. Among a total of 95 modern studies, 56 studies find positive results regarding technical trading strategies, 20 studies obtain negative results, and 19 studies indicate mixed results. Despite the positive evidence on the profitability of technical trading strategies, most empirical studies are subject to various problems in their testing procedures, e.g. data snooping, ex post selection of trading rules or search technologies, and difficulties in estimation of risk and transaction costs. Future research must address these deficiencies in testing in order to provide conclusive evidence on the profitability of technical trading strategies.     

Autocorrelation of the trade process: Evidence from the Helsinki Stock Exchange

This study investigates how duration-based trading intensity modifies the first-order autocorrelation and the transitory variance of the trade process. Because prices are conditional expected values, a structural model in which the trade duration represents the rate at which prices incorporate new information is developed. This refined model is an extension of the one developed by Madhavan, Richardson, and Roomans (1997) and allows parameters characterizing the arrival rate of new information to be derived. Testing this model with data from the Helsinki Stock Exchange, I was able to determine that a model ignoring trading intensity effects on price changes would underestimate the transitory effects of the trade process. This finding suggests that trade duration captures neglected elements of implicit trading costs that increase with market microstructure effects.     

US elections and monthly stock market returns

Using monthly market returns over a period of 104 years, we investigate possible relationships between stock market performance and various occurrences in American elections. Unlike most prior studies, we find little relationship between the two. In the relatively few cases where we do find statistically significant relationships, the degree of explanatory power is quite small. Specifically, market returns do not appear to vary based on partisan control of the government, a result that is robust to the inclusion or exclusion of macroeconomic control variables. Further, the often-discussed “second-half” effect, which predicts higher returns during the second half of a given presidential term, turns out to be both weaker and less straightforward than is commonly believed. Overall, neither election results nor the election cycle appears to offer much help in predicting stock market returns.      

Market efficiency, discount-rate changes, and stock returns: A long-term perspective

This paper examines the market efficiency issue by analyzing stock returns surrounding Fed announcements of discount-rate changes. Based on an analysis ofex post returns over a 58-year period, the results provide evidence of long-term market efficiency. Consistent with recent literature, the findings also reveal some predictability in return patterns where an active trading strategy based on directional reversals in the pattern of discount rate changes outperforms a passive buy-and-hold approach. The results indicate that the proposed active trading produces substantially higher risk-adjusted returns than the buy-and-hold strategy.     

不完全信息下拍卖市场的结构与交易效率

本文着重研究了不完全信息下拍卖市场的结构及其对拍卖市场交易效率的影响。通过合理地引入刻画市场结构的参数,对不完全信息下的拍卖市场作了“结构”上的分类;借助于拍卖市场博弈的贝叶斯均衡解,分析了不同市场结构对拍卖市场交易效率的影响,论证了在各种可能的市场结构中,当拍卖市场具有“完全竞争性”的市场结构时,拍卖市场的交易效率是最优的;通过求解参与人的最优市场结构,得到了拍卖市场中不同类型的参与人具有不同市场结构偏好的结论,并由此揭示了导致不完全信息下拍卖市场交易效率损失的根本原因。     

The equivalence of the bishop-de leeuw and the pigou dalton order structures of measures

In this paper it is shown that the Bishop-de Leeuw and the Pigou-Dalton order structures of measures are the same.

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Riassunto In questo lavoro viene dimostrato, che le structture d’ordine per le misure di Bishop-de Leeuw e di Pigou-Dalton si equivalgono.

     

Predictability in sovereign bond returns using technical trading rules: Do developed and emerging markets differ?

The study examines the predictability of 48 sovereign bond markets based on a strategy of 27,000 technical trading rules. These rules represent four popular trading rule classes, they are: moving average, filtering, support and resistance, and channel breakout rules, with numerous variants in each class. Empirical results show that (i) investing in sovereign bond markets is predictable, based on the buy-sell signals generated by trading rules, with the predictability of the emerging Asian markets being significantly higher than those of the advanced markets; (ii) the predictability is generally higher when the US tightens its monetary policies or undergoes recession or a financial crisis; (iii) two-thirds of sovereign bond markets have a higher predictability when we use a machine learning algorithm to determine the best trading rule strategy; and (iv) the predictability of a sovereign bond market is higher when the economy has a less effective government, lower regulatory quality, lower degree of financial openness, higher political risk, lower income and faster real money growth. Our results suggest that shocks originating from US monetary policy or economic conditions could have a considerable spillover effect on sovereign bond markets, particularly the emerging Asian markets.     

The role of cash flows and accruals in explaining security returns: evidence for the UK

The assessment of earnings usefulness in returns studies has been at the forefront of accounting research since the seminal work of Ball and Brown (1968). Recently, regulatory bodies worldwide have paid increased attention to cash flow reporting. Empirical research provides evidence that earnings information dominates cash flows in market-based accounting research. This study extends the growing empirical literature on the association of earnings and cash flows with security returns. We hypothesize that the association of cash flows with security returns improves (i) the smaller the absolute magnitude of aggregate accruals, (ii) the longer the measurement interval and (iii) the shorter the firm's operating cycle. The dataset consists of all UK firms included in the Global vantage database for the period 1984–1992. This study provides evidence that cash flows play a more important role in the marketplace when the operating cycle, magnitude of accruals and the measurement interval are taken into consideration. Moreover, results indicate that cash flows have more information content than earnings in explaining security returns.     

Consistent order selection with strongly dependent data and its application to efficient estimation

Order selection based on criteria by Akaike (IEEE Trans. Automat. Control AC-19 (1974) 716), AIC, Schwarz (Ann. Stat. (1978) 461), BIC or Hannan and Quinn's (J. R. Stat. Soc. Ser. B (1979) 190) HIC is often applied in empirical examples. They have been used in the context of order selection of weakly dependent ARMA models, AR models with unit or explosive roots and in the context of regression or distributed lag regression models for weakly dependent data. On the other hand, it has been observed that data exhibits the so-called strong dependence in many areas. Because the interest to this type of data, our main objective in this paper is to examine order selection for a distributed lag regression model that covers in a unified form weak and strong dependence. To that end, and because the possible adverse properties of the aforementioned criteria, we propose a criterion function based on the decomposition of the variance of the innovations of the model in terms of their frequency components. Assuming that the order of the model is finite, say p₀, we show that the proposed criterion consistently estimates p₀. In addition, we show that adaptive estimation for the parameters of the model is possible without knowledge of p₀. Finally, a small Monte-Carlo experiment is included to illustrate the finite sample performance of the proposed criterion.     

广义有效资本市场:财务理论的新视野

以深市1998-2006年的349家A股上市公司为样本,实证检验了广义有效市场假说(GEMH)的财务管理理论。广义有效市场假说用价格的分形引子来表示风险资产的收益;并把风险的定义从收益的方差或标准差复原为资本的耗散程度,从而用耗散资产定价模型(DAPM)来替代资本资产定价模型(CAPM);用双β财务政策理论来替代MM理论;而市场效率可以用给定市场的资本效率吸引子与其均衡市场的资本效率吸引子之间的比率来进行评价。     

Knowledge flows and performance of multinational subsidiaries: the perspective of human capital

This paper examines the relationships between knowledge flows and subsidiaries' performance in the perspective of human capital. Our empirical study of 130 Taiwanese multinational companies' (MNCs') subsidiaries show that outflow of knowledge can enhance performance; however, the inflow of knowledge can facilitate performance only in the case of high investment of human capital in subsidiaries. Additionally, the effects of knowledge inflow on subsidiary's performance are found significant only in its earlier stage of establishment.     

The economic meaning of Data Envelopment Analysis: A ‘behavioral’ perspective

We reconsider the motivation of Data Envelopment Analysis (DEA), the non-parametric technique that is widely employed for analyzing productive efficiency in academia, the private sector and the public sector. We first argue that the conventional engineering motivation of DEA can be problematic since it often builds on unverifiable production axioms. We then provide a dual viewpoint and highlight the ‘behavioral’ interpretation of DEA models. We start from a specification of the production objectives while imposing minimal structure on the production possibilities, and construct tools to meaningfully quantify deviations of observed producer behavior from optimizing behavior. This brings to light the economic meaning of DEA, provides guidelines for selecting the appropriate model in practical research settings, and prepares the ground for instituting new DEA models. We also provide an empirical application that demonstrates the practical relevance of our arguments. We hope that our insights will contribute to the further dissemination of DEA, and stimulate public sector applications of DEA that build on its behavioral interpretation.     

Entrepreneurship: Origins and returns

We examine the origins and outcome of entrepreneurship on the basis of exceptionally comprehensive Norwegian matched worker-firm-owner data. In contrast to most existing studies, our notion of entrepreneurship not only comprises self-employment, but also employment in partly self-owned limited liability companies. Based on this extended entrepreneurship concept, we find that entrepreneurship tends to be profitable. It also raises income variability, but the most successful quartile gains much more than the least successful quartile loses. Key determinants of the decision to become an entrepreneur are occupational qualifications, family resources, gender, and work environments. Individual unemployment encourages, while aggregate unemployment discourages, entrepreneurship.     

Day trading and stock price volatility

When an investor buys and sells the same stock on the same day, he is said to have made a day trade. Using the trading records of Finnish traders, this paper examines whether day trading is related to volatility of stock prices. I find a strong positive time-series relation between the number of day trades by individual investors and intraday volatility among heavily day traded stocks. This effect is robust after controlling for a previously documented volume–volatility relation. The result suggests that the joint hypothesis of price pressure and volatility induced day trading dominates the liquidity effects of day trading.     

MARKET MANIPULATION: A SURVEY

Abstract Despite the significant attention that market manipulation has received in recent years many aspects of it are poorly understood. This article identifies from the theoretical and empirical literature what we do and do not know about market manipulation, and suggests directions for future research. We know that manipulation is possible and that it occurs in a wide variety of markets and circumstances. In contrast, we know little about how often manipulation occurs, its effects and how it responds to regulation. Suggested approaches for future research on these issues include: (1) collecting more comprehensive data sets of manipulation cases; (2) using detection controlled estimation methods to overcome sample selection and partial observability problems and (3) conducting controlled experiments. This article also constructs a novel and broad taxonomy of the different types of market manipulation and discusses approaches to defining manipulation.     

THE INFLUENCE OF FUNDAMENTALS ON EXCHANGE RATES: FINDINGS FROM ANALYSES OF NEWS EFFECTS

Abstract As we survey the literature of macroeconomic news in the foreign exchange market, we can by now look back on nearly 30 years of research. The first studies which analysed news effects on exchange rates were established in the early 1990s (see, for example, Dornbusch). Almost at the same time Meese and Rogoff published their influential paper, revealing the forecasting inferiority in exchange rates of structural models against the random walk. This finding has shocked the pillars of exchange rate economics and thus cast general suspicion on research focusing on fundamentals in this field. The eventual rising popularity of event studies can partly be attributed to the re‐establishment of the raison d’être of exchange rate economics. This work focuses on systematically surveying this literature with particular respect to its primary goal, i.e. shedding light on the analytical value of fundamental research. Thus, its major findings are, first, fundamental news does matter, whereas non‐fundamental news matters to a lesser degree. Second, news influences exchange rates via two separated channels, i.e. incorporating common information into prices directly or indirectly based upon order flow. Third, with a few exceptions the impact of fundamental news on exchange rates is fairly stable over time.     

从演进经济学视角解读城市形成原因

从经济学演进变迁的视角,梳理不同时期经济学家对城市形成原因的不同解说,可以内在统一地解释城市的形成规律,也能给当前我国的城市发展和城市化进程以理论启示.     

最小报价单位、价格水平与流动性——基于上海股市的实证研究

最小报价单位是证券市场交易机制设计的重要组成部分。与许多市场不同 ,我国证券市场采取单一的最小报价单位。本文利用上海股市的高频日内数据 ,对中国证券市场中最小报价单位对不同价格水平股票的流动性的影响进行了实证研究 ,研究结果表明适度提高高价股票的最小报价单位可能通过提高报价深度而促进这类股票的流动性。     

Internationalisation: A co-evolutionary perspective

Earlier research has identified several organisational and contextual factors relating to the internationalisation of the firm. However, the relations between these factors and their interaction over time have not been clearly understood. This paper seeks to bridge this gap and to provide a contribution to the internationalisation literature by presenting a co-evolutionary approach whereby the internationalisation path of the firm is seen as a product emerging from the co-evolution of internationalisation activities, organisational resources and industry influences. A longitudinal case study of the internationalisation of Orion Diagnostica illustrates the explanatory potential of the co-evolutionary model and captures the complex and interactive nature of the firm's internationalisation over time. The findings of the study also clarify the constraints that enable or compel a firm to internationalise rapidly and show how and why the status of “born globals” may change radically in the further internationalisation development.