Longshots,overconfidence and efficiency on the Iowa Electronic Market

We study the forecast accuracy and efficiency of popular “binary” prediction markets. Such markets forecast probabilities for future states of the world (e.g., election winners) by paying off $0 or $1 depending on the realized state (e.g., who actually wins). To assess accuracy, forecast probabilities must be compared to realization frequencies, not individual realizations. We use Iowa Electronic Market (IEM) data to test efficiency against two alternative propositions from behavioral finance: the longshot bias and the overconfidence bias (which yield opposing predictions). No longshot bias appears in IEM markets. Nor does overconfidence influence prices at short horizons. However, overconfident traders may bias prices at intermediate horizons. While the markets are efficient at short horizons, non-market data indicate some intermediate-horizon inefficiency. We calculate Sharpe ratios for static trading strategies and document returns for dynamic trading strategies to assess the economic content of the inefficiencies.     

Asset pricing for inefficient markets: Evidence from China and India

Over last four decades, evidence of market inefficiencies has been widely documented by several scholars for all major stock markets in the globe. Chinese and Indian markets are not exempt. Inefficiencies in these markets are described by many authors as roots of all mispricing. Mispricing might be the outcome of application of familiar asset pricing models which may mislead an investor into adopting inappropriate policies for his new investments or for reallocating his old investments. In an alternative approach, we propose a transformation on original market returns in the objective of relaxing the strong assumption of market efficiency behind application of an asset pricing model. This modification will widen the scope of rational models on asset pricing ranging from an efficient to an inefficient market.     

Prediction market prices under risk aversion and heterogeneous beliefs

In this paper, we examine the properties of prediction market prices when risk averse traders have heterogeneous beliefs in state probabilities. We show that the equilibrium state prices equal the mean beliefs of traders about that state if and only if the traders’ common utility function is logarithmic. We also provide a necessary and sufficient condition ensuring that the state prices are systematically below or above the mean beliefs of traders, thus providing a rational explanation to the favorite-longshot bias in prediction markets.     

Exploring issues of market inefficiency by the role of forecasting accuracy in survivability

Whether markets are efficient or not has been broadly discussed in the empirical literature since the efficient markets hypothesis was proposed by Fama and others in the 1960s. Unfortunately, they did not come to a consistent conclusion. Besides, while these studies show whether a specific market is efficient or not, little has been done to explore the issues regarding the degree of market inefficiency. This paper attempts to resolve the puzzle of the inconsistent conclusions in the empirical literature by adopting a bottom-up approach which takes market participants’ interactions and coordination into consideration. By simulating an agent-based artificial stock market, this paper concludes with three main findings. First, agents’ survivability is mainly decided by risk preference, and not forecasting accuracy. Survivors may have diverse forecasting accuracy. Second, because market prices are not decided by agents based on accurate predictions, markets can not be efficient. What may exist is only the difference of the degree of inefficiency between markets. Third, the more relevant to survivability the forecasting accuracy in a market is, the less inefficient the market will be. Therefore, this paper suggests that it may be better to view the divergent empirical results regarding market efficiency as a fact that markets are inefficient to a variety of degrees.     

Primetime Spin: Media Bias and Belief Confirming Information

This paper develops a model of media bias in which rational agents acquire all their news from the source that is most likely to confirm their prior beliefs. Despite only wishing to make the correct decision, agents act as if they enjoy receiving news that supports their preconceptions. By exclusively gathering information from a source biased towards his prior, there is little chance an agent will be persuaded to change his mind. Moreover, it is shown that even an unbiased agent prefers to receive biased news as it is unlikely to produce conflicting reports. The media caters to the informational demands of consumers and accordingly slants its reporting. It is shown that competition may not decrease bias, but may actually enhance it. Finally, even when it increases bias, competition may improve welfare by expanding the market for news.     

Emerging market mutual fund performance: Evidence for Poland

This paper provides evidence on the performance of mutual funds in a prominent emerging market; Poland. Studying an emerging market provides an excellent opportunity to test whether the consensus on the inability of mutual funds in developed and highly efficient markets to beat the market, also holds in less efficient markets. While the weaknesses of legal institutions and underdeveloped capital markets in emerging countries could negatively contribute to performance, a certain level of market inefficiency might also enable fund managers to successfully apply security selection and therefore beat the market. This paper presents an overview of the Polish mutual fund industry and investigates mutual fund performance using a survivorship bias controlled sample of 140 funds. The latter is done using the Carhart (1997) 4-factor asset-pricing model. In addition, we investigate whether Polish fund managers exhibit “hot hands”, persistence in performance. Finally the influence of fund characteristics on risk-adjusted performance is considered. Our overall results suggest that Polish mutual funds on average are not able to add value, as indicated by their negative net alphas. Interestingly, domestic funds outperform internationally investing funds, which points at informational advantages of local over foreign investors. Finally, we detect strong persistence in mean returns up to 1 year. It is striking that “winning” funds are able to significantly beat the market, based on their significantly positive alpha's. These results deviate from studies on developed markets that conclude that even past winners are not able to significantly beat the market.     

Regional information and market efficiency: the case of spread betting in United States college football

Using game results over a seven year span (1999–2006), we find that United States college football teams in arid regions “win” against the spread in 56.64% of games in which they host a team from a humid region. This result provides statistically significant evidence for both weak and strong form inefficiency in the spread betting markets of such games. By examining other cases of intraregional and interregional competition within the sport, we conclude that this inefficiency does not arise from the effects of travel or home field advantage. Rather, the result indicates that climate aridity is an observed characteristic for which college football betting markets do not accurately control. It is quite rare to find strong form market inefficiency arise from a single variable rather than from an elaborate, multivariable betting strategy. Therefore, the effect of climate aridity upon college football spread betting market efficiency can be characterized as dramatic. It is conjectured that remote market participants may need to “experience” certain types of relevant regional information, such as climate, to act in a market efficient manner.     

Mispricing in the odd lots market in Brazil

We study the case of mispricing in the odd lots equity market in Brazil. Contrary to expectation, odd lot investors are paying higher prices than round lot investors. The pricing difference between markets is affected by market returns, volatility and spreads. Our main hypothesis is that; once the assets traded in the odd lot market are more illiquid than their counterparts, the mispricing is driven by liquidity factors. Additionally, we show that the mispricing yields an arbitrage opportunity that is not being traded away in the Brazilian market. Therefore, we propose regulators to review the market design for odd lots in Brazil. We argue that reducing the minimal trading unit in the round lots market would benefit investors.     

Why cryptocurrency markets are inefficient: The impact of liquidity and volatility

In this research, we study the multifractality, long-memory process, and efficiency hypothesis of six major cryptocurrencies (Bitcoin, Ethereum, Monero, Dash, Litecoin, and Ripple) using the time-rolling MF-DFA approach. For an in-depth analysis, this study uses the quantile regression approach to examine the determinants of efficient markets. The results show that all markets present evidence of long-memory property and multifractality. Furthermore, the inefficiency of cryptocurrency markets is time-varying, and Dash is the least inefficient market while Litecoin is the most inefficient. Finally, we find that higher liquidity improves but higher volatility weakens the efficiency of cryptocurrencies, depending on the quantiles. Therefore, we conclude that high liquidity with low volatility helps active traders to arbitrage away opportunities, resulting in market efficiency.     

Efficiency and Seasonality in the UK Housing Market, 1991–2001*

This paper considers the informational efficiency of the UK owner‐occupied housing market over the period 1991–2001. Original small‐area, monthly, quality‐adjusted house price index series are developed from raw housing transaction observations for a number of UK counties and cities. These series are then tested in an autoregressive setting for characteristics indicative of weak market efficiency and seasonality. The major conclusion drawn is that there exists little evidence to support notions of inefficiency in these markets over the period considered.     

The informational content of credit rating announcements for share prices in a small market

The informational value of credit ratings is a subject of continuing debate. This research examines whether reaction to small market credit rating announcements is different from large markets, due to limited information, liquidity premia, and analyst neglect factors. Unlike U.S. and Australian studies that find a significant reaction to only bad news, a significant positive reaction to both positive placements and upgrades is found in the New Zealand market. Further, significant market reaction largely accrues to firms not cross-listed in U.S. markets. This evidence suggests credit rating agencies act as substitute information providers for firms followed by relatively few analysts. A substantial portion of this research was completed while author Meyer was affiliated with Massey University, Albany Campus, Auckland, New Zealand.     

Pricing efficiency and asymmetric multifractality of major asset classes before and during COVID-19 crisis

We examine the impact of COVID-19 pandemic crisis on the pricing efficiency and asymmetric multifractality of major asset classes (S&P500, US Treasury bond, US dollar index, Bitcoin, Brent oil, and gold) within a dynamic framework. Applying permutation entropy on intraday data that covers between April 30, 2019 and May 13, 2020, we show that efficiency of all sample asset classes is deteriorated with the outbreak, and in most cases this deterioration is significant. Results are found to be robust under different analysis schemes. Brent oil is the highest efficient market before and during crisis. The degree of efficiency is heterogeneous among all markets. The analysis by an asymmetric multifractal detrended fluctuation analysis (A-MF-DFA) approach shows evidence of asymmetric multifractality in all markets which rise with the scales. The inefficiency is higher during downward trends before the pandemic crisis as well as during COVID-19 except for gold and Bitcoin. Moreover, the pandemic intensifies the inefficiency of all markets except Bitcoin. Findings reveal increased opportunities for price predictions and abnormal returns gains during the COVID-19 outbreak.     

Institutional barriers in labor markets: Examples, impacts, and policies

This paper examines the institutional biases that impede the competitive functioning of labor markets. Two contexts are considered. The first relates to Moroccan labor migrants in The Netherlands, where institutional bias distorts the competitive functioning of the labor market by downgrading the educational returns to migrant workers and acting as a disincentive for further investment in human capital. The second relates to labor markets in Indonesia and Pakistan. Institutional bias in these two countries leads to an exaggeration of labor returns to certified education, and to over-investment in university education. We argue that such biases are fed by misinformed beliefs and group interests, and stand in the way of achieving higher growth and equity.     

Informational cascades with endogenous prices: The role of risk aversion

In this paper, we show that long run market informational inefficiency and informational cascades can easily happen when trades occur at market clearing prices. We consider a sequential trade model where: (i) the investors’ set of actions is discrete; (ii) dealers and investors differ in risk aversion; (iii) investors’ information is bounded. We show that informational cascade occurs as soon as traders’ beliefs do not differ too sharply. Thus, prices cannot fully incorporate the private information dispersed in the economy.     

成交量、持仓量对我国大豆类期货价差波动影响的实证分析

采用GARCH(1,1)模型就成交量、持仓量对大豆类期货价差波动率的影响进行实证分析,结果显示：当期成交量、持仓量对大豆期货价差波动的整体影响是显著的;滞后成交量、持仓量对大豆期货价差波动的整体影响也是显著的;当成交量、持仓量同时进入条件方差方程时,它们对大豆类期货价差波动的影响整体上也是显著的。这一结论揭示了我国大豆期货市场信息传递过程,验证了我国大豆期货市场的信息非有效性,对期货市场投资者以及期货市场监管者具有一定的借鉴意义。     

Information or Opinion? Media Bias as Product Differentiation

Two aspects of media bias are important empirically. First, bias is persistent: it does not seem to disappear even when the media is under scrutiny. Second, bias is conflicting: different people often perceive bias in the same media outlet to be of opposite signs. We build a model in which both empirical characteristics of bias are observed in equilibrium. The key assumptions are that the information contained in the facts about a news event may not always be fully verifiable, and consumers have heterogeneous prior views ("ideologies") about the news event. Based on these ingredients of the model, we build a location model with entry to characterize firms' reports in equilibrium, and the nature of bias. When a news item comprises only fully verifiable facts, firms report these as such, so that there is no bias and the market looks like any market for information . When a news item comprises information that is mostly nonverifiable, however, then consumers may care both about opinion and editorials, and a firm's report will contain both these aspects—in which case the market resembles any differentiated product market . Thus, the appearance of bias is a result of equilibrium product differentiation when some facts are nonverifiable. We use the model to address several questions, including the impact of competition on bias, the incentives to report unpopular news, and the impact of owner ideology on bias. In general, competition does not lead to a reduction in bias unless this is accompanied by an increase in verifiability or a smaller dispersion of prior beliefs.     

审计质量对资本市场定价偏差抑制效应研究

以2007—2017年A股上市公司为样本,探讨审计质量与资本市场定价偏差的关系。研究发现：审计质量对资本市场定价偏差有显著的抑制作用,审计质量越高,资本市场定价偏差越小;其作用机制为降低盈余管理和增加投资者关注。进一步研究表明,该抑制效应主要体现在股票价格高估和流动性较差的公司中。研究结果从资本市场定价效率的角度丰富了审计质量价值的文献,并对资本市场监管具有一定的意义。     

Forecasts in times of crises

Financial crises pose unique challenges for forecast accuracy. Using the IMF’s Monitoring of Fund Arrangements (MONA) database, we conduct the most comprehensive evaluation of IMF forecasts to date for countries in times of crises. We examine 29 macroeconomic variables in terms of bias, efficiency, and information content to find that IMF forecasts add substantial informational value, as they consistently outperform naive forecast approaches. However, we also document that there is room for improvement: two-thirds of the key macroeconomic variables that we examine are forecast inefficiently, and six variables (growth of nominal GDP, public investment, private investment, the current account, net transfers, and government expenditures) exhibit significant forecast biases. The forecasts for low-income countries are the main drivers of forecast biases and inefficiency, perhaps reflecting larger shocks and lower data quality. When we decompose the forecast errors into their sources, we find that forecast errors for private consumption growth are the key contributor to GDP growth forecast errors. Similarly, forecast errors for non-interest expenditure growth and tax revenue growth are crucial determinants of the forecast errors in the growth of fiscal budgets. Forecast errors for balance of payments growth are influenced significantly by forecast errors in goods import growth. The results highlight which macroeconomic aggregates require further attention in future forecast models for countries in crises.     

Evidence of information transmission across currency futures markets using frequency domain tests

In this article, I examine the returns and volatility spillovers in the currency futures market incorporating the recently developed frequency domain tests. Such analysis allows differentiating between permanent (long-run) and transitory (short-run) linkages among the currency futures markets by investigating the causality dynamics at low and high frequencies respectively. I detect significant informational linkages between USD, EUR, GBP and JPY futures contracts in the Indian currency futures market. Evidence of innovations from USD futures market to other markets is the most significant for returns spillover and for volatility spillover, EUR is found to be the most significant compared to other currency futures contracts. The results would have implications for the market participants and policymakers.     

How tournament incentives affect asset markets: A comparison between winner-take-all tournaments and elimination contests

We investigate the impact of investment managers׳ tournament incentives on investment strategies and market efficiency, distinguishing between winner-take-all tournaments (WTA), where a minority wins, and elimination contests (EC), where a majority wins. Theoretically, we show that investment managers play heterogeneous strategies in WTA and homogeneous strategies in EC, and markets are more prone to mispricing in WTA than in EC. Experimentally, we find that investment managers play more heterogeneous strategies in WTA than in EC, but this does not trigger significant differences in prices. Moreover, prices in WTA and EC do not differ significantly from markets composed of linearly incentivized subjects.