Loss aversion and market crashes

This study proposes a rational expectation equilibrium model of stock market crashes with information asymmetry and loss averse speculators. We obtain a state-dependent linear optimal trading strategy, which makes the equilibrium price tractable. The model predicts nonlinear market depth and the result that small shocks to fundamentals (e.g., supply or informational shocks) can cause abrupt price movements. We demonstrate that short-sale constraints intensify asset price collapses relative to upward movements. The model also generates contagion between uncorrelated assets. These results are consistent with the main puzzling features observed during market crashes, namely abrupt and asymmetric price movements that are not driven by major news events but coupled with a spillover effect between unrelated markets.     

Why is there controversy regarding China’s staple grain food market integration? Evidence and implication from price convergent club analysis

There remains ongoing controversy regarding the degree to which Chinese food markets are integrated. Some economists conclude that China’s grain economy is well integrated, while others argue that China’s gradual reforms have led to fragmented domestic markets while others conclude that previous studies have produced mixed results. To reconcile the debate, this article models and analyses the behaviour of China’s food grain retail markets by testing for the existence of the convergent price clustering clubs using appropriate econometric methods and price data over 1997–2010. The article finds evidence as to why the controversy remains by identifying a number of small divergent price clustering clubs where it is hard to conclude that China’s food grain markets are fully integrated. However, given that large convergent clustering clubs were also identified, it can be concluded that the degree to which Chinese grain food retail markets are integrated is ‘high’. This finding is important for those who plan to investigate the economic behaviour of grain production under the assumption of a pure, fully integrated, food market economy in China.     

Volatility and Market Risk of Rubber Price in Malaysia: Pre- and Post-Global Financial Crisis

The volatility in rubber price is a significant risk to producers, traders, consumers and others who are involved in the production and marketing of natural rubber. Such being the case, forecasting the rubber price volatility is desired to assist in decision-making in this uncertain situation. The 2008 Global Financial Crisis caused some disruptions and uncertainties in the future supply or demand for natural rubber and thus leading to higher rubber price volatility. Using ARCH-type models, this paper intends to model the dynamics of the price volatility of Standard Malaysia Rubber Grade 20 (SMR 20) in the Malaysian market before and after the Global Financial Crisis. Additionally, Value-at-Risk (VaR) approach is implemented to evaluate the market risk of SMR 20. Our empirical result denotes the existence of volatility clustering and long memory volatility in the SMR 20 market for both crisis periods. Leverage effect is also detected in the SMR 20 market where negative innovations (bad news) have a larger impact on the volatility than positive innovations (good news) for post-crisis period. When tested with Superior Predictive Ability (SPA) test, FIGARCH model is the best model across five loss functions for short- and long-term forecasts for pre-crisis period. Meanwhile, over post-crisis period, FIGARCH and GJR GARCH indicate the superior out-of-sample-forecast results and better forecasting accuracy over short- and long-term horizons, respectively. In terms of market risk, the short trading position encounters higher risk or greater losses than the long trading position at both 1 and 5 % VaR quantile for pre-crisis period. In contrast, over post-crisis period, long traders of rubber SMR 20 tend to face limited gains but unlimited losses.

     

The effect of the National Food Reserve Agency on maize market prices in Tanzania

Tanzania's National Food Reserve Agency has a mandate to ensure food security through procuring, reserving and recycling grain (primarily maize) in a cost‐effective manner. This mandate excludes a price stabilization role. Procurement prices, based on production costs, are often set above market prices to encourage production. Several disbursements channels exist: grain provided free or at a discount to targeted vulnerable households; subsidized sales to millers; and sales to prisons or nongovernmental aid programs, typically at market‐related prices. Given the perception that these activities are distortive, we use time‐series econometrics to model maize price dynamics in select wholesale markets to capture the Agency's market impact. We find that its pricing strategy had an insignificant impact on prices during 2010/11–2014/15 despite a fairly significant presence in at least some regional markets. We recommend that the Agency reconsiders offering a price premium on procured maize or selling maize at discount to millers, as limited market spill‐over effects imply the benefits are captured by only a few, even though its practice of providing subsidized or free maize to vulnerable people is not in question. Furthermore, current storage capacity expansion plans are not required and inconsistent with its food security mandate.     

Information Markets and the Comovement of Asset Prices

Traditional asset pricing models predict that covariance between prices of different assets should be lower than what we observe in the data. This paper introduces markets for information that generate high price covariance within a rational expectations framework. When information is costly, rational investors only buy information about a subset of the assets. Because information production has high fixed costs, competitive producers charge more for low-demand information than for high-demand information. The low price of high-demand information makes investors want to purchase the same information that others are purchasing. When investors price assets using a common subset of information, news about one asset affects the other assets' prices; asset prices comove. The cross-sectional and time-series properties of comovement are consistent with this explanation.     

Strategic Manipulation and Information Market Microstructure

This paper presents a model of strategic manipulation in the context of an informational duopoly. The fact that market manipulation by these duopolists may affect their cost and demand structures implies that they can strategically manipulate the market in order to influence the information market equilibrium. This paper derives an equilibrium manipulation and establishes important comparative-static properties that may characterise such markets. The informational duopoly is beset with two types of inefficiency: first, market imperfections drive a wedge between the marginal cost and the market price leading to the usual deadweight loss. Secondly, an act of manipulation raises the marginal cost of production and, thereby, causes further welfare loss in such markets. We provide a complete characterisation of an optimal mechanism that can stem the welfare loss in informational markets.     

银行间和交易所债券市场信息溢出效应研究

本文采用VAR模型研究了我国交易所和银行间国债市场的信息溢出效应。笔者提出以往文献对两个国债市场信息溢出的结论过于简单化,实证验证了两个市场信息溢出时既具有差异性又具有同质性,哪种性质占主导取决于新信息的来源。笔者发现当新信息来源于国债市场内部,两个国债市场会表现出差异性,溢出效应为负向,即银行间国债市场的上升预示着交易所国债市场的下降。当信息来源于国债市场外部,两个国债市场之间则先表现出同质性,溢出效应为正向;随后差异性占主导,两个国债市场之间发生信息负向溢出或资本的流动。     

Fundamentals, information, and international capital flows: A welfare analysis

In the recent discussion surrounding the design of a new international financial architecture, enhancing transparency has widely been proposed as a policy essential for increasing the efficiency of international capital markets. This paper uses a simple two-country (two-agent) general equilibrium model with incomplete markets and production to explore the welfare consequences of an increase in public information about country-specific fundamentals (increase in transparency). An improvement in the quality of information has two effects on the ex ante welfare of individual countries: A direct effect that increases the efficiency of global capital allocation and welfare, and an indirect general equilibrium effect that increases asset price volatility and may decrease welfare. When the degree of risk-aversion is low, at least one country will gain from an increase in information quality. If the degree of risk-aversion is high, then there are robust examples of economies for which an increase in information hurts all countries. The paper also discusses how certain institutional arrangements (international derivative markets, international agency) could ensure that all countries gain from better information by providing insurance against information-induced asset price risk.     

Dynamic Model for Market Competition and Price Rigidity

This article presents a price floor model in which durability, unit costs and production period are factors in explaining price rigidity. This article elaborates that cost structure plays an essential role in resolving the inconclusive relationship between market concentration and price rigidity. When the industry is characterized by decreasing returns of scale, the degree of price flexibility decreases as market competition intensifies. The reverse is true when the industry exhibits increasing returns of scale. The factors that cause price rigidity also foster price adjustment asymmetry and price adjustment lag. During times of recession, the model exhibits upward price flexibility as costs increase, but downward price rigidity as costs decrease. Even under forward-looking expectations, the way in which firms adjust prices could look as though they have adaptive expectations. If price stickiness is a characteristic of market competition, then public policies determined by price level could be too drastic for firms in competitive markets.     

News and volatility of food prices

Financial markets exhibit an asymmetric news effect with unexpected low prices generating more price volatility than ‘news’ of high prices. The present study examines US food markets for such asymmetric news effects. Analysis of 25 years of monthly data for 45 retail food items shows that price news destabilizes about a third of the markets with unexpected price increases more destabilizing.     

A general equilibrium pricing model with speculation,quantity risk,price risk and foreign exchange risk

This paper develops a general equilibrium model where prices and foreign exchange rates are endogenous and based upon more fundamental determinants. Speculative behavior leading to position taking in claims on foreign risky commodities is explained. It is shown that in a multicurrency environment with less than complete markets and sequential trading opportunities, heterogenous expectations instigate this behavior; speculation occurs only when news (new information) is anticipated to emerge which can lead to a revision in prices and foreign exchange rates. However, it is contended that although foreign exchange risk and price risk do exist in such a market, they are results of the underlying and inescapable quantity risk. Furthermore, in well functioning markets, the risk that emanates from position taking in state contingent claims on foreign commodities and which influences final consumption is quantity risk. The distinction drawn between the three types of risks and the hierarchy established among the three markets with which these risks are associated has implications for international financial management, especially as it pertains to multinational corporations' foreign exchange exposure management.     

A model of fashions and status

This paper presents a model of fashion cycles based on the idea that individuals purchase fashion goods because their displayed status increases with the personal status of other consumers who buy the same good. Fashion cycles occur in the model because demand now is a rising function of future prices: if future prices are high, only rich consumers will buy it in the future and the good will have a higher status value in the future and will be more desirable now, even though demand now is a decreasing function of current price. The time inconsistency problem is solved by repeated cycles which allows for reputation building. The crucial assumption made is that there is perfect information about the price path of all firms and the average status of the purchasers of each product. This limits possible profits in fashion markets in competition as imitation of price paths is then possible.     

Optimal food price stabilisation policy

This paper proposes a framework for designing optimal food price stabilisation policies in a self-sufficient developing country. It uses a rational expectations storage model with risk-averse consumers and incomplete markets. Government stabilises food prices by carrying public stock and by applying a state-contingent subsidy/tax to production. The policy rules are designed to maximise intertemporal welfare. The optimal policy under commitment crowds out all private stockholding activity by removing the profit opportunity from speculation. The countercyclical subsidy/tax to production helps price stabilisation by subsidising production in periods of scarcity and by taxing it in periods of glut. It contributes little to welfare gains, most of which come from stabilisation achieved through public storage.     

Impacts of China's crash on Asia-Pacific financial integration: Volatility interdependence,information transmission and market co-movement

This paper examines the price and volatility dynamics between China and major stock markets in the Asia-Pacific, investigating the effects of the Chinese stock market crash (2015–2016) for the first time. Employing the Bayesian VAR and BEKK GARCH, we observe that price and volatility spillover behaviours are different during the stable and stress periods. Particularly, price spillovers from China to other regional markets are more significant during a bullish period, showing that ‘good news’ emanating from China has strong impacts on its neighbours during better market condition. In the turbulent period, we observe strong shock spillover effects and enhanced volatility spillovers from China to most Asia-Pacific stock markets. This is because China, as an important trading partner and strategic financial centre shows to exert significant influence on the Asia-Pacific region through various economic channels. We also find that the Asia-Pacific stock markets spill over their shocks to China during the crisis, indicating that China is becoming more integrated with the regional financial markets.     

Language sentiment in fundamental and noise trading: evidence from crude oil

ABSTRACT

Recent research has found the language sentiment in financial news to be a substantial driver of prices in financial markets, though there are two diametrically opposed interpretations for this: either markets perceive news sentiment as fundamental information (thus leading to changes in the valuation of assets) or news sentiment conveys a noise signal (thus contributing to the stochastic component of prices). The opposite roles are resolved in the context of crude oil prices by decomposing price movements into two components referring to fundamental and noise trading. Contrary to theoretical arguments in prior literature, we find empirical results supporting both interpretations.     

Daily market news sentiment and stock prices

In recent years there has been a tremendous growth in readily available news related to traded assets in international financial markets. This financial news is now available through real-time online sources such as Internet news and social media sources. The increase in the availability of financial news and investor’s ease of access to it has a potentially significant impact on market stock price movement as these news items are swiftly transformed into investors sentiment which in turn drives prices. In this study, we use the Thomson Reuters News Analytics (TRNA) data set to construct a series of daily sentiment scores for Dow Jones Industrial Average (DJIA) stock index constituents. We use these daily DJIA market sentiment scores to study the influence of financial news sentiment scores on the stock returns of these constituents using a multi-factor model. We augment the Fama–French three-factor model with the day’s sentiment score along with lagged scores to evaluate the additional effects of financial news sentiment on stock prices in the context of this model using Ordinary Least Square (OLS) and Quantile Regression (QR) to analyse the effect around the tail of the return distribution. We also conduct the analysis using the seven-day simple moving average (SMA) of the scores to account for news released on non-trading days. Our results suggest that even when market factors are taken into account, sentiment scores have a significant effect on Dow Jones constituent returns and that lagged daily sentiment scores are often significant, suggesting that information compounded in these scores is not immediately reflected in security prices and related return series. The results also indicate that the SMA measure does not have a significant effect on the returns. The analysis using Quantile Regression provides evidence that the news has more impact on left tail compared to the right tail of the returns.     

The shifting boundaries of the mixed economy and the future of the nonprofit sector

The nonprofit sector exists because it can solve better than for-profit firms problems associated with the provision of products with publicness (nonrivalry or nonexcludability) attributes, or those affected by asymmetric information between providers and customers. This advantage is likely to be eroded in the future by various technological advances, particularly in the area of information transmission, analysis, storage and retrieval, and by the increase in the effective size of markets. Consequently, the demand for nonprofit organizations will possibly decline in the future. On the other hand, the operational efficiency of nonprofit organizations is likely to improve due to possibilities of stricter audit of and control over management made possible by enhanced access by nonprofit stakeholders to budgetary and operational information. This will help nonprofit organizations respond better to various failures of for-profit firms and to the insufficiency of government correctives. It is difficult to forecast the net effect of the myriad factors that work in opposite directions on the demand for and supply of nonprofit organizations, although it appears to this author that the economic weight of nonprofit organizations and their distinctive features will wane.     

中国碳交易二级市场有效性研究

选取北京、上海、广东、湖北碳交易市场自成立至2017年3月31日的收盘价数据,通过对日收益序列数据的分析,运用一阶自回归过程调整日收益序列以消除淡薄交易市场效应,之后综合运用检验性逐渐增强的4个方差比检验,判断4个碳交易市场的弱式有效性。研究结果表明：①国内碳交易市场属于淡薄交易市场;②市场中的价格信息堆积,信息透明度较差;③碳交易市场投资风险较大;④碳配额持有期不同,市场有效性具有差异,且具有阶段性特点;⑤北京碳交易二级市场属于弱式无效市场,上海、广东碳交易市场虽属于弱式无效市场,但随着碳额持有期增加,市场的弱式有效不断加强,湖北碳交易已经达到了弱式有效水平。最后,基于研究结论对如何加强中国碳交易二级市场有效性提出4点建议。     

会计稳健性影响因素实证研究

以2009年沪深两市的上市公司数据作为研究样本,在Basu模型的基础上,增加了新的变量,以影响因素的替代变量为解释变量,对影响会计稳健性的因素进行了实证研究。结果表明：会计信息对＂坏消息＂的敏感程度比对＂好消息＂敏感程度更强公司规模与会计稳健性存在负相关关系,市价账面比与会计稳健性存在正相关关系,财务杠杆与会计稳健性的关系与国外研究结果不一致。该研究结果与国外的研究结果基本一致。     

Electoral systems and the effects of political events on the stock market: The Belgian case

Efficient stock markets react to news. News about future economic policies can be derived from political events such as elections, the formation of new governments, changes in the composition of governments, etc. However, the news content of these events depends on the electoral system. In the American electoral system, characterized as it is by majority representation and single–party governments, elections generate news to the extent that the results are unexpected. In countries with proportional representation, governments are frequently multi–party coalitions whose composition is difficult to predict from the election results. These results therefore contain much less information about future policies. Our results, obtained for the Brussels stock market, support this distinction. Furthermore, the ideological composition of the government also matters; these effects support a rational partisan approach.