Biases and Strategic Behaviour in Performance Evaluation: The Case of the FIFA's best soccer player award

In this paper, we study biases in performance evaluation by analysing votes for the FIFA Ballon d'Or award for best soccer player, the most prestigious award in the sport. Our findings suggest that ‘similarity’ biases are substantial, with jury members disproportionately voting for candidates from their own country, own national team, own continent and own league team. Further, we show that the impact of such biases on the total number of votes a candidate receives is fairly limited and hence is likely to affect the outcome of this competition only on rare occasions where the difference in quality between the leading candidates is small. Finally, analysing the incidence of ‘strategic voting’, we find jury members who vote for one leading candidate are more, rather than less, likely to also give points to his main competitor, as compared with neutral jury members. We discuss the implications of our findings for the design of awards, elections and performance evaluation systems in general and for the FIFA Ballon d'Or award in particular.     

Informational efficiency and behaviour within in-play prediction markets

Studies of financial market informational efficiency have proven burdensome in practice, because it is difficult to pinpoint when news breaks and is known by some or all the participants. We overcome this by designing a framework to detect mispricing, test informational efficiency and evaluate the behavioural biases within high-frequency prediction markets. We demonstrate this using betting exchange data for association football, exploiting the moment when the first goal is scored in a match as major news that breaks cleanly. There are pre-match and in-play mispricing and inefficiency in these markets, explained by reverse favourite-longshot bias (favourite bias). The mispricing tends to increase when the major news is a surprise, such as a goal scored by a longshot team late in a match, with the market underestimating their chances of going on to win These results suggest that, even in prediction markets with large crowds of participants trading state-contingent claims, significant informational inefficiency and behavioural biases can be reflected in prices.     

Are credit rating agencies regionally biased?

We investigate claims of regional bias in the sovereign credit ratings given by the rating agencies Fitch, Moody’s and Standard & Poor’s by considering a wide range of macroeconomic, financial, institutional, regional and geopolitical indicators for 99 countries categorized into eight regions plus the United States. Empirical results based on seemingly unrelated regressions indicate a strong home country bias towards the United States, while there seem to be no special biases against individual groups of countries. We also demonstrate how modeling errors such as omitted variables can increase dispersion in the estimated regional effects, causing agencies to appear biased.     

Asymptotic seat bias formulas

Apportionment methods are used to round the vote proportions of parties in a proportional representation system to integer numbers of seats in the parliament. Seat biases quantify by how much on average a particular apportionment method favors larger (or smaller) parties. In this paper, we prove a previous conjecture on asymptotic seat biases of stationary divisor methods and the quota method of greatest remainders, as the size of the parliament tends to infinity.     

Seat allocation distributions and seat biases of stationary apportionment methods for proportional representation

In a proportional representation system, apportionment methods are used to round the vote proportion of a party to an integer number of seats in parliament. Assuming uniformly distributed vote proportions, we derive the seat allocation distributions for stationary divisor methods. An important characteristic of apportionment methods are seat biases, that is, expected differences between actual seat numbers and ideal shares of seats, when the parties are ordered from largest to smallest. We obtain seat bias formulas for the stationary divisor methods and for the quota method of greatest remainders.Acknowledgement. We thank Friedrich Pukelsheim for many fruitful discussions.Received March 2004     

中国股市日内流动性效应分析——基于高频数据的流动性度量、特征及其影响因素

本文归纳了流动性刻画维度和度量指标,选取不同规模和价位股票的高频数据作样本,吸收Amivest流动性比率计算原理,设定价格对交易量变动的敏感性为流动性度量指标,分析股票日内交易特征和流动性影响因素。结果发现：日内模式价格变动呈仰卧“F”形,交易量呈仰卧“E”形,而非传统的“L”或“U”型;日内交易模式、股票规模和股票价位均影响着股票流动性;日内模式异动时间内,股票流动性差;大规模股票流动性强;高价股流动性差。     

Federalism,distributive politics and representative democracy

We analyze federal systems of government in which local public policies are financed by general taxation. In a decentralized political system there is, in each region, a vote to elect a local representative while in a centralized political system a single representative is elected by a federal vote. It is shown that under decentralization, voters strategically elect liberal representatives so as to nullify any element of cooperation between representatives in the decision-making stage. Thus, there is a trade-off between the budgetary externality and a "policy closer to the people", but the democratic choice is biased towards decentralization.     

The Profitability of Trading Strategies Based on Book Value and Earnings in Hong Kong: Market Inefficiency vs. Risk Premia

Using a sample of Hong Kong firms, we have examined the relative and incremental usefulness of book-to-price ratio (B/P), and earnings-to-price ratio (E/P) for providing profitable trading strategies or for predicting stock returns. Our results show that trading strategies based on B/P or E/P yield significant excess returns for various holding periods up to two years, and that B/P and E/P are not only individually but also incrementally useful for predicting stock returns. Further, results of various tests indicate that trading profits observed from the B/P strategy are likely to be a result of B/P proxying for risk differentials, while those from the E/P strategy are related to gains from exploitation of market inefficiency or mispricing. The two ratios appear to capture different aspects of firm value in Hong Kong.     

Stock volatility and trading

Both, rational and behavioral models predict that stock and market volatility affect trading by investors. Tax-induced trading hypothesis predicts that investors increase realization of capital losses short term and capital gains only long term as volatility increases. Behavioral models predict that disposition biases of holding on to losers and disposing of winners intensifies with volatility. We document that market and stock volatility influence stock trading. Evidence on trading in response to rise in market volatility supports tax-loss harvesting hypothesis – abnormal trading of losers increases and winners decreases. However, evidence on trading patterns conditional on individual stock volatility is in support of both tax-loss-harvesting and behavioral models: trading in both losing stocks (tax-loss-harvesting hypothesis) and winning stocks (disposition effect hypothesis) increases with rise in stock volatility.     

Voter turnout in a multidimensional policy space

Many factors influence the likelihood of citizens turning out to vote. In this paper we focus our attention on issue voting, that is, on the likelihood that different policies offered by politicians affect the probability of voting. If voters consider both the benefits and the costs of voting, rational voters will only vote when politicians offer differentiated policies. In a multidimensional policy space this implies that citizens only vote when they perceive enough difference on the issues they care about the most. We investigate the role of voter abstention due to indifference in a unidimensional and a multidimensional policy setting using data from the US National Election Studies for 1972–2000 and find support for our predictions: voters perceiving a small difference between the platforms of the Democratic and Republican parties are less likely to vote; and voters who perceive the two parties as more different on a larger number of issues are significantly more likely to vote.     

Inadequacy of nation-based and VaR-based safety nets in the European Union

Considered as a social contract, a financial safety net imposes duties and confers rights on different sectors of the economy. Within a nation, elements of incompleteness inherent in this contract generate principal-agent conflicts that are mitigated by formal agreements, norms, laws, and the principle of democratic accountability. Across nations, additional gaps emerge that are hard to bridge. This paper shows that nationalistic biases and leeway in principles used to measure value-at-risk and bank capital make it unlikely that the crisis-prevention and crisis-resolution schemes incorporated in Basel II and EU Directives could allocate losses imbedded in troubled institutions efficiently or fairly across member nations.     

Does it matter that the prosecutor is also the judge? The administrative complaint process at the Federal Trade Commission

Firms seeking to merge face antitrust scrutiny from either the Department of Justice (DOJ) or the Federal Trade Commission (FTC). Unlike the DOJ, the FTC litigates its cases in front of its own administrative law judges (ALJs), and then hears the appeal itself, rather than using federal district courts. This study focuses on the formal decisions made by the FTC after an ALJ has conducted a full trial for a particular case. We find that while the ‘merits’ of a matter, as implied by the case law, affect the FTC's decision, institutional factors also have an impact. In particular, the firm's chances of prevailing in litigation are influenced by the number of commissioners who both vote to prosecute and then vote as a judge as well as the political affiliations of the commissioners. © 1998 John Wiley & Sons, Ltd.     

Machine over Mind? Stock price clustering in the era of algorithmic trading

Given the rise of automated trading in the post-decimalization era, we examine time trends in price clustering for exchange traded funds (ETFs) and individual stocks during the post decimalization era. There is limited prior evidence on price clustering for portfolio securities such as ETFs. A striking feature of the evidence is the substantial reduction in clustering over the sample period for ETFs as well as for individual stocks. This decline occurs for trades of all sizes. We attribute the decline in clustering to the increasing prominence of algorithmic trading, which is immune to psychological biases.     

试论加气混凝土砌块墙体裂缝的产生原因

在用户对建筑质量进行评判的时候,建筑裂缝是他们对建筑进行评判的主要目测标准之一。粉煤灰加气混凝土砌块是一种轻质墙体材料,具有良好的隔热性能,施工较为简便而且价格低廉,但是施工不当会导致加气混凝土砌块墙体裂缝的产生。本文主要探讨了加气混凝土砌块墙体裂缝的产生原因,并提出了对策。     

Beating the market with a bad predictive model

It is a common misconception that in order to make consistent profits as a trader, one needs to possess some extra information leading to an asset value estimation that is more accurate than that reflected by the current market price. While the idea makes intuitive sense and is also well substantiated by the widely popular Kelly criterion, we prove that it is generally possible to make systematic profits with a completely inferior price-predicting model. The key idea is to alter the training objective of the predictive models to explicitly decorrelate them from the market. By doing so, we can exploit inconspicuous biases in the market maker’s pricing, and profit from the inherent advantage of the market taker. We introduce the problem setting throughout the diverse domains of stock trading and sports betting to provide insights into the common underlying properties of profitable predictive models, their connections to standard portfolio optimization strategies, and the commonly overlooked advantage of the market taker. Consequently, we prove the desirability of the decorrelation objective across common market distributions, translate the concept into a practical machine learning setting, and demonstrate its viability with real-world market data.     

Who Gets on the News? The relation between media biases and different actors in news reporting on complex policy processes

Abstract

Having a voice in media is important to gain power and legitimacy in policy processes. However, media are biased in transmitting information. Using a quantitative content analysis of ten years’ news reporting around water management policies in the Netherlands, we study how much media attention different groups of actors receive and how media biases relate to this attention. Executive politicians get on the news because of their authoritative position; less authoritative actors getting on the news is more related to information biases. Information biases can thus function as a form of checks and balances in news reporting on policy processes.     

Estimation Bias and Inference in Overlapping Autoregressions: Implications for the Target‐Zone Literature*

Samples with overlapping observations are used for the study of uncovered interest rate parity, the predictability of long‐run stock returns and the credibility of exchange rate target zones. This paper quantifies the biases in parameter estimation and size distortions of hypothesis tests of overlapping linear and polynomial autoregressions, which have been used in target‐zone applications. We show that both estimation bias and size distortions of hypothesis tests are generally larger, if the amount of overlap is larger, the sample size is smaller, and autoregressive root of the data‐generating process is closer to unity. In particular, the estimates are biased in a way that makes it more likely that the predictions of the Bertola–Svensson model will be supported. Size distortions of various tests also turn out to be substantial even when using a heteroskedasticity and autocorrelation‐consistent covariance matrix.     

The Money Economy

A bstract A trustworthy monetary system is necessary to support the division of labor and extended trading relationships. In the context of classical economics and of Keynes'macroeconomics, the origin of pervasive economywide problems have been traced to monetary disturbances. The relevance (to interest rate theory) of the market for credit and of bond price speculation is critical to judging the plausibility of those rival theories.     

Inferring trader behavior from transaction data: A trade count model

We present a model that uses trade counts to infer the arrival of private news and the probability of informed trading (PIN). Although similar in approach, our model avoids problems with factor-driven biases and standard errors associated with estimating the buy-sell model of Easley et al. (1996). In particular, tests using the probability of informed trading may suffer from spurious correlations between the Easley et al. (1996) PIN and firm or market characteristics. Results for our model suggest that trade counts, independent of trade direction, are able to capture important features of a firm’s information environment. (JEL C51, D82)     

高校轮滑教学对学生身体机能培养的实验研究

轮滑运动以其时尚的魅力和独特的健身价值,在高校新兴体育课程中深受广大学生的青睐。文章采用文献检索法、实验测定法、数理统计法等方式,以陕西科技大学2008级参加轮滑选项课程的学生为研究对象,探讨轮滑课程教学会对学生身体机能产生哪些影响,为高校轮滑课程发展提供理论参考。