Manipulation and the Allocational Role of Prices

It is commonly believed that prices in secondary financial markets play an important allocational role because they contain information that facilitates the efficient allocation of resources. This paper identifies a limitation inherent in this role of prices. It shows that the presence of a feedback effect from the financial market to the real value of a firm creates an incentive for an uninformed trader to sell the firm's stock. When this happens the informativeness of the stock price decreases, and the beneficial allocational role of the financial market weakens. The trader profits from this trading strategy, partly because his trading distorts the firm's investment. We therefore refer to this strategy as manipulation . We show that trading without information is profitable only with sell orders, driving a wedge between the allocational implications of buyer and seller initiated speculation, and providing justification for restrictions on short sales.     

我国上市公司股权激励对公司股价影响的实证研究

本文采集了29家上市公司在首次披露实施股权激励方案的前后各30个交易日股票收盘价,并运用Excel和Eviews5.0进行统计分析。研究发现,上市公司在披露实施股权激励方案后存在股价的超常波动,市场上存在超额收益。     

The relationship between the costs and prices of a multi-product monopoly: The role of price-cap regulation

This paper examines the role of price-cap regulation in influencing the relationship between the costs and prices of a multi-product monopoly. Based on a simple model of mark-up pricing, a combination of analytical and numerical analysis is used to show how cost increases among the firm's products can cause a divergence of prices from the Ramsey structure if the cost increases are non-uniform or if the demand elasticities for the products are non-uniform. However, in the absence of additional cost changes, profit-maximising prices which are subject to a price-cap constraint converge to the Ramsey structure if the previous period's quantities are used as weights in the firm's price-cap constraint. Consequently, given this formulation of the firm's price-cap constraint, only in situations of recurring cost changes are prices likely to show on-going divergence from the Ramsey structure.This paper reports on research funded by the Australian Electricity Supply Industry Research Board. I am grateful to two anonymous referees for their helpful comments on previous versions.     

上市公司因素与股票市场风险关系实证研究

文章应用横截面数据,定量分析了我国上市公司业绩、治理结构、股权分置和信息披露等公司因素对股票市场风险的影响,以及总体公司因素对我国股票市场风险的影响程度,并得出了相应的结论。     

客户股价崩盘风险对供应商具有传染效应吗?

文章利用手工整理的2007?2013年800对客户与供应商均为上市公司的供应链公司数据,探讨了客户股价崩盘风险是否会通过密切的供应链关系传染给供应商.研究发现:(1)客户股价崩盘风险对供应商具有传染效应,且这一传染效应主要出现在供应商自身抗风险能力不足时.(2)客户与供应商的关系越重要、越专有、越稳定、越良性,客户股价崩盘风险对供应商的传染效应越强.这表明由于密切的经济联系,当客户股价崩盘风险较高时,供应商可能会受牵连而发生崩盘.文章的研究为传染文献提供了新的适用情形,也展示了客户影响供应商的独特路径,从而丰富了传染效应和客户供应商关系的相关文献.     

Commodity prices and related equity prices

This paper shows that commodity‐sensitive stock price indices have strong power in predicting nominal and real commodity prices at short horizons (one‐month‐ahead predictions) using both in‐ and out‐of‐sample tests. The forecasts based on commodity‐sensitive stock price indices are able to significantly outperform naïve no‐change forecasts. For example, the one‐month‐ahead forecasts for nominal commodity prices reduce the mean squared prediction error by between 1.5% (for natural gas prices) and 20% (for copper prices). Moreover, the one‐month‐ahead directional forecast is found to perform significantly better than a 50:50 coin toss. As stock prices are not subject to revision, the proposed variable, which reflects timely and readily available market information, can potentially be a valuable predictor and thereby help to improve the accuracy of commodity price forecasts.     

Informed trade,uninformed trade and stock price delay

The probability of informed trading (PIN), a measure of information-based trading risk, has been broadly applied to empirical studies on asset pricing. However, it is still controversial whether PIN measures exclusively the risk of firm-specific private information or it also captures the private interpretation of market wide public information. This article examines the relevance of PIN to the delayed response of stock prices to market-wide information. We find that PIN significantly explains individual stock price delay even controlling for size, liquidity and risk, and low-PIN stock prices adjust to market information more rapidly not only because of a notably high level of informed trading but also an even much higher level of uninformed trading. Our findings support the notion that PIN also captures the private skilled interpretation of public common factor information by sophisticated investors, and provide new empirical evidence on how information-based trading affects the speed at which stock prices adjust to information.     

Are the Australian and New Zealand stock prices nonlinear with a unit root?

Whether or not stock prices are characterized by a unit root has important implications for policy. For instance, by applying unit root tests one can deduce whether stock returns can be predicted from previous changes in prices. A finding of a unit root implies that stock returns cannot be predicted. This paper investigates whether or not stock prices for Australia and New Zealand can be characterized by a unit root process. An unrestricted two-regime threshold autoregressive model is used with an autoregressive unit root. Among the main results, it is found that the stock prices of both countries are nonlinear processes that are characterized by a unit root process, consistent with the efficient market hypothesis.     

卖空机制、股价信息含量与暴跌风险--基于融资融券交易的经验证据

文章利用我国逐步推出融资融券交易的自然实验机会,运用双重差分的研究设计,考察了卖空机制对股价反映负面消息效率的影响。文章以2007-2012年的数据为样本研究发现：相对于非标的股票,融资融券标的股票在成为标的之后,其股价对市场的向下波动及时做出了调整,使得股价对市场正负向波动反应之间的不对称性显著降低,表明标的股票更加及时和充分地吸收了有关公司价值的负面信息;同时,相对于非标的股票,融资融券标的标的股票在成为标的之后,其股价暴跌风险显著降低。文章结果表明,我国股市推出融资融券交易后,卖空机制提高了市场对标的股票负面消息的定价效率。     

Stock prices and long-run demand for money: evidence from Malaysia

This paper investigates the money demand function for Malaysia in the 1971-1996 period using the multivariate cointegration and error correction model methodology. The results suggest that a stable long-run relationship exist between real M2, the interest rate differential, income and stock prices. Stock prices have a significant negative substitute effect on long-run as well as short-run broad-money demand (M2) and its omission can lead to serious misspecification in the money demand function. The analysis from the vector error correction model (VECM) and the Toda & Yamamoto (1995) causality tests find that money is endogenous and that there is at least a unidirectional relationship between stock prices and real M2. Stock prices Granger cause real M2 indirectly through income between interest rates and stock prices and stock prices and money stock. This paper comes to the conclusion that due to the endogeneity of money, M2 cannot be completely controlled by Malaysia's central bank. Therefore, in formulating future monetary policy, the response of money demand to stock prices should be considered.     

The Prediction of Stock Prices Based on PCA and BP Neural Networks

There are many factors to influence stock prices indeed. The research method combining models and examples is applied to study how the factors affect stock prices here. Firstly, the principal component analysis is used to deal with a set of variables as the input of a BP Neural Network. Therefore, not only is the number of variables less, but also most of the information of original variables is kept. Then, the BP Neural Network is established to analyze and predict stock prices. Finally, the analysis of Chinese stock market illustrates that the method predicting stock prices is satisfying and feasible.     

Stock Market Fluctuations and Money Demand in Italy, 1913–2003

This paper examines the impact of stock market fluctuations on money demand in Italy from a long‐run perspective. The money demand function estimated by Muscatelli and Spinelli (2000) for a long time span is utilized as a benchmark, adding to the specification information on share prices from the Milan Stock Exchange Reform of 1913 to recent years. For a shorter time period (1938–2003), annual observations on stock market capitalization and turnover velocity are also considered. The empirical findings suggest that stock market fluctuations help to explain temporary movements in liquidity preference, rather than its secular patterns. Overall, a positive association emerges between an index of stock market prices that includes dividends and real money balances; however, the estimated long‐run relationship is unstable. In a dynamic, short‐term specification of money demand, the estimated coefficient of deflated stock prices is positive, and therefore compatible with a wealth effect, in the years 1913–1980, while in the last two decades a substitution effect has prevailed and the correlation between money and share prices has been negative. This is likely to reflect a change in financial structure and the increasing role of opportunity costs defined over a wider range of assets. These results are confirmed by data on stock market capitalization. Moreover, in the recent period, stock market turnover and money growth are positively correlated .     

Do market prices aggregate information about macroeconomic uncertainty (or risk)?

This article examines several economic variables that represent either confidence in future economic conditions or the degree of risk/uncertainty about future conditions in order to determine which contain more information about future employment and output. Some of these variables are prices, while others are from surveys. Causality tests, historical decompositions within a VAR and out-of-sample forecasts are among the tools used. This article concludes that monthly stock returns contain much more information about future economic conditions than the other variables. The spread between Moody’s BAA and AAA bonds, the spread between the constant maturity 10-year government bond and the federal funds rate, as well as uncertainty in future economic conditions as measured by the Federal Reserve Bank of Philadelphia’s Business Outlook Survey also provide information about future economic conditions. Notably, this article finds that monthly stock returns contain more information about future economic conditions than does the vix and that variables based on market prices provide more information than survey data. This result provides some support for the notion that market prices aggregate information.     

The behaviour of Hong Kong stock prices

The primary function of a stock market is to allocate resources to the most profitable investment opportunities. If stock prices provide accurate signals for resource allocation, firms are able to make correct production–investment decisions, and investors are able to choose the most suitable stocks for investment. These choices are only possible if the market is efficient, that is, if stock prices ‘fully reflect’ all available information.

Hong Kong is now an international financial centre. Although Hong Kong's stock market is ranked as one of the five largest in the world in terms of turnover, little research has been devoted to the behaviour of its stock prices. This is a study of the efficiency of Hong Kong's stock market. It is based upon two widely accepted statistical tests, namely, serial correlation analysis and runs tests. Data used cover the daily prices of 28 major Hong Kong stocks over a period of four years from 1977 to 1980. The evidence is mixed; it does not provide clear support for the efficient market hypothesis.     

有效市场假说对会计的影响

在有效市场假说下,股票价格总能及时、准确、充分地反映所有相关信息。也就说,股票价格是绝大多数投资者对各种信息进行综合分析判断的均衡值,反映了资本市场上绝大多数投资者根据已有信息对公司价值的总体预期。有效市场假说对信息与价格的关系认知,推动了对会计信息作用的再认识,促进了决策有用性目标的确立,促使会计研究由规范研究转向实证研究,实证检验会计信息的有用性。     

The effect of oil prices on stock prices: fresh evidence from asymmetric causality tests

This article investigates the causal impact of oil prices on stock prices in each G7 market as well as in the world market. An asymmetric causality test developed by Hatemi-J is used for this purpose. Since the underlying data appears to be non-normal with time-varying volatility, we use bootstrap simulations with leverage adjustments in order to produce more reliable critical values than the asymptotic ones. Based on symmetric causality tests, we find no causal effect of oil prices on the stock prices of the world market or any of the G7 countries. However, when we apply an asymmetric causality test, we find that increasing oil prices cause stock prices to rise in the world, the U.S. and Japan while decreasing oil prices cause stock prices to fall in Germany. This may imply that the world, the U.S. and Japanese stock markets consider increases in oil prices as an indicator of good news as this may mean that there is an increase in oil demand due to an expected growth in the economy while the German stock market treats decreasing oil prices as a signal of an expected contraction in the economy.     

Fiscal policy and stock market efficiency: An ARDL Bounds Testing approach

The aim of this paper is to investigate the semi-strong market efficiency hypothesis with respect to fiscal policy information, in the context of the Bucharest Stock Exchange. Taking into account that macroeconomic data series of emerging countries usually have a limited size and may be plagued by inconsistencies and structural breaks, this paper proposes an ARDL Bounds testing approach for studying the relationship between stock returns and lagged macroeconomic variables. Moreover, this approach allows us to examine both the long and short-term relationship between fiscal policy and stock returns. The results indicate that, in the long run, stock prices fully and efficiently reflect information on past fiscal policy. However, in the short run, the Romanian stock market reacts efficiently only to unexpected fiscal policy news, while anticipated fiscal policy information displays a significant lagged relationship with current stock returns. In addition, the results also showed that monetary policy information is not incorporated efficiently into stock prices, both in the short and the long run, and its impact on stock returns is larger than the one exerted by fiscal policy.     

Trade openness and the informational efficiency of emerging stock markets

This paper examines the empirical link between trade openness and the informational efficiency of stock markets in 23 developing countries. Our fixed effects panel regression results document a significant negative relation between trade openness and stock return autocorrelations only when the de facto measure is used. On this basis, we argue that a greater level of de facto trade openness is associated with a higher degree of informational efficiency in these emerging stock markets because the former signals higher future firm profitability, and investors tend to react faster to information when there is less uncertainty about a firm's future earnings or cash flows. Further analyses find no significant association between the extent of financial openness and the degree of informational efficiency.     

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.     

Stock market reactions to environmental disclosures: new evidence from China

We study how the stock market in China responds to announcements by an environmental risk index and find that China’s stock market penalizes firms associated with unfavourable environmental news if the information is provided directly to investors in a manner that is easily understood. We also find that the negative impact on stock prices fades after multiple disclosures of the same information.