Fair bets and profitability in college football gambling

Efficient markets in college football are tested over a 25-year period, 1976–2000. the market in general is found to be efficient, but betting on underdogs of more than 28 points violates a fair bet. The strategy of betting home underdogs reveals stronger results. Home underdogs of more than seven points are found to reject the null hypotheses of a fair bet over the last 10 years of the sample, 1991–2000. Home underdogs of more than 28 points are found to reject the null of no profitability during the same time frame.     

Odds-setting efficiency in gambling markets: Evidence from the PGA TOUR

This paper describes the gambling market for PGA TOUR events for the 2002 season. The extent to which the odds predict the outcome is examined, illustrating how much information is captured in the odds and whether there are any identifiable biases in the odds. The overall implied profit to the casino is calculated as well as the returns to several naive betting strategies. By splitting the sample based on whether or not Tiger Woods is in the tournament, a “Tiger Woods effect” or a “thin market versus thick market effect” can be examined. On the whole, efficient markets propositions hold up, but the overwhelming share of the variation in the tournament outcome remains unexplained.     

Bettor preferences and market efficiency in football totals markets

The betting markets for totals in college football and arena football provide additional evidence of bettor preference for scoring. The results for college football and arena football markets are similar to those found in the professional football and professional basketball totals market. In all of these leagues, the overs are overbet. We suggest that there is a clear preference for bettors to bet the over and the extent of the bias depends upon the volume of uninformed bettors to informed bettors and limits placed on bets in these markets.     

Market efficiency and NCAA college basketball gambling

The betting market for NCAA college basketball is examined from the 1996–97 season through 2003–04. In the overall sample, market efficiency cannot be rejected. For big favorites, specifically those favorites of 20 or more, a simple strategy of betting the underdog in these games is shown to reject the null hypothesis of a fair bet since the underdog wins more than implied by efficiency. This bias appears to be the same as in other sports. The home-team bias in college basketball is shown to be the opposite of the other sports, however, since big favorites win more often than implied by efficiency. Potential reasons for this bias such as NCAA tournament incentives and uniformity of playing conditions are discussed.     

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.     

Additional evidence of heuristic-based inefficiency in season wins total betting markets: Major League Baseball

The large majority of sports betting papers have addressed questions of market efficiency based on the outcome of single game, such as spread (sides) or point totals wagers. This research examines the Major League Baseball (MLB) season wins total over/under betting market with respect to questions of market efficiency and profitability. Woodland and Woodland (2013, 2015) investigated the season wins total markets for the National Football League (NFL) and the National Basketball Association (NBA) and found significant inefficiencies. Betting rules tested in this paper parallel those proposed by Woodland and Woodland for the NFL and NBA. They aim to take advantage of the implications of the representativeness heuristic, that is, individuals expect results from a small number of games to generalize to the entire population. The MLB market is found to be inefficient, and provides opportunities for profitable wagering. We establish a tendency for bettors to overreact to a team’s performance in the previous season, particularly for teams with winning records. Results are consistent with the findings for the NFL and NBA season wins totals betting markets. This may be the consequence of monetary betting limits and a structure requiring the completion of a sport’s season before the bet outcome is determined, both of which could discourage some bettors from participating.     

Transition, the Evolution of Stock Market Efficiency and Entry into EU: The Case of Romania

In this paper we demonstrate that the measurement of stock market efficiency is an important activity in establishing whether eastern European countries satisfy the Copenhagen Criteria for EU membership. Specifically, we argue that developing an efficient stock market should be an important policy focus for countries with aspirations to join the EU as it helps to demonstrate the existence of a functioning market economy. We illustrate this issue by examining the evolution of stock market efficiency in the Bucharest Stock Exchange from mid-1997 to September 2002. We use a GARCH model on daily price data and model the disturbances using the Student-t distribution to allow for ‘fat-tails’. We find strong evidence of inefficiency in the Bucharest Stock Exchange in that the lagged stock price index is a significant predictor of the current price index. This result is robust to the inclusion of variables controlling for calendar effects of the sort that have been observed in more developed stock markets. The level of inefficiency appears to diminish over time and we find evidence consistent with stock market efficiency in Romania after January 2000.     

Efficiency of online football betting markets

This paper evaluates the efficiency of online betting markets for European (association) football leagues. The existing literature shows mixed empirical evidence regarding the degree to which betting markets are efficient. We propose a forecast-based approach for formally testing the efficiency of online betting markets. By considering the odds proposed by 41 bookmakers on 11 European major leagues over the last 11 years, we find evidence of differing degrees of efficiency among markets. We show that, if the best odds are selected across bookmakers, eight markets are efficient while three show inefficiencies that imply profit opportunities for bettors. In particular, our approach allows the estimation of the odds thresholds that could be used to set profitable betting strategies both ex post and ex ante.     

Arbitrage in stationary markets

We analyse questions of arbitrage in financial markets in which asset prices change in time as stationary stochastic processes. The main focus of the paper is on a model where the price vectors are independent and identically distributed. In the framework of this model, we find conditions that are necessary and sufficient for the absence of arbitrage opportunities. We discuss the relations between the results obtained and the phenomenon of “volatility-induced growth” in stationary markets. Financial support by the Swiss National Center of Competence in Research “Financial Valuation and Risk Management” (NCCR FINRISK) is gratefully acknowledged.     

The patterns of cross-border portfolio investments in the GCC region: do institutional quality and the number of expatriates play a role?

In this paper, we document the determinants of portfolio investments to Gulf Cooperation Council (GCC) economies by bringing up the role played by market forces, cultural affinities, and institutional quality. We classify the GCC economies as host to 35 countries as per the Coordinated Portfolio Investment Surveys (CPIS) of the IMF for the period 2001–2006. Using the CPIS data and data from various other reliable sources and appropriate panel data analysis techniques, we find a number of interesting results: 1) the relatively higher quality of institutional set up in GCC in comparison to other countries; 2) the relative volume of expatriates across source countries in GCC soil; and 3) bilateral factors such as trade linkages between GCC and source countries, all statistically and significantly explain portfolio investments to the GCC region. Additionally, we uncover the existence of a portfolio “GCC bias”. That is, GCC investors exhibit a strong preference towards their own markets when allocating their cross border financial asset holdings.     

Relative pricing of binary options in live soccer betting markets

Live soccer betting markets differ from other binary options markets in that all fundamental information is observable, the options mature in less than two hours and the markets are highly liquid. This study presents a new method for the identification of hidden information in market prices. The method is based on two independent Poisson distributions and on a numerical algorithm for the aggregation of all market price information into one rational number. The method is applied to an empirical dataset of real time market prices in 29,413 soccer games. The results indicate that the method selects the most profitable markets and allows for a significant improvement in average investment returns.     

Notes and Comments: An approximation of caplet implied volatilities in Gaussian models

Abstract It is market practice to quote interest rate derivatives traded “over the counter” in terms of their implied volatility. For this reason, the term structure of at-the-money cap volatilities as well as the volatility surface of at-the-money swaptions are directly observed. This paper analyzes the case of caps. Any analysis of these markets would most likely report two main facts. The first is that the level of the volatility is inversely related to the level of the interest rates. The second is that the term structure is either a decreasing or a humped function of maturity. For a reference, see Rebonato (2003) and Brigo and Mercurio (2001). Rebonato (2003) suggests that the structure of implied volatility is humped in periods of normal market conditions and decreasing when markets are “excited”. Interpreting and explaining such phenomena is indeed an interesting and important issue. Mathematics Subject Classification (2000): 91B70 Journal of Economic Literature Classification: E43, C13     

Forecasting football results and exploiting betting markets: The case of “both teams to score”

The continuous growth of available football data presents unprecedented research opportunities for a better understanding of football dynamics. While many research works focus on predicting which team will win a match, other interesting questions, such as whether both teams will score in a game, are still unexplored and have gained momentum with the rise of betting markets. With this in mind, we investigate the following research questions in this paper: “How difficult is the ‘both teams to score’ (BTTS) prediction problem?”, “Are machine learning classifiers capable of predicting BTTS better than bookmakers?”, and “Are machine learning classifiers useful for devising profitable betting strategies in the BTTS market?”. We collected historical football data, extracted groups of features to represent the teams’ strengths, and fed these to state-of-the-art classification models. We performed a comprehensive set of experiments and showed that, although hard to predict, in some scenarios it is possible to outperform bookmakers, which are robust baselines per se. More importantly, in some cases it is possible to beat the market and devise profitable strategies based on machine learning algorithms. The results are encouraging and, besides shedding light on the problem, may provide novel insights for all kinds of football stakeholders.     

Business ethics: A model to position a relative business ethics decision and a model to strengthen its application

The maxims of normative ethics are often in conflict. Thus business practitioners facing ethical questions often find themselves operating in the area of relative ethics. There are arguably two dimensions to this area. One lies on a spectrum from weak companies in highly competitive industries to strong companies in protected industries. The second dimension places the would-be ethical manager in awkward situations imposed from either the hierarchy or from corrupt markets. This article develops an analysis model to portray this relative ethics dilemma. Then, an argument is made that the more the individual manager practices good ethics, the higher the level of ethics the individual is able to maintain. This article proposes an adaptation of the 1950s feedback model of group dynamics known as the “Johari Window” to show this improvement in ethical behavior.     

The wisdom of large and small crowds: Evidence from repeated natural experiments in sports betting

Prediction markets have proved excellent tools for forecasting, outperforming experts and polls in many settings. But do larger markets, with a wider participation, perform better than smaller markets? This paper analyses a series of repeated natural experiments in sports betting. The Queen’s Club Tennis Championships are held every year, but every other year the Championships clash with a major soccer tournament. We find that tennis betting prices become significantly less informative when participation rates are affected adversely by the clashing soccer tournament. This suggests that measures which increase prediction market participation may lead to a greater forecast accuracy.     

The behaviour of betting and currency markets on the night of the EU referendum

We study the behaviours of the Betfair betting market and the sterling/dollar exchange rate (futures price) during 24 June 2016, the night of the EU referendum. We investigate how the two markets responded to the announcement of the voting results by employing a Bayesian updating methodology to update prior opinion about the likelihood of the final outcome of the vote. We then relate the voting model to the real-time evolution of the market-determined prices as the results were announced. We find that, although both markets appear to be inefficient in absorbing the new information contained in the vote outcomes, the betting market seems less inefficient than the FX market. The different rates of convergence to the fundamental value between the two markets lead to highly profitable arbitrage opportunities.     

Are government-linked IPOs underpriced? A three country privatization effort comparison

Underpricing in the case of the initial public offerings of private (non-government) firms has been well documented. However, there does not appear to be any systematic study of the price performance of “government-linked” companies or GLCs, which have been “privatized” through public offerings in the stock market. This study examines the hypothesis that the initial public offerings (IPOs) of such companies in the United Kingdom, Singapore, and Malaysia will not only be underpriced, but their degree of underpricing will be relatively greater when compared to firms with no governmental links. The results provide strong support for this hypothesis.     

Long-term relationship between political behavior and stock market return: new evidence from quantile regression

The stock market is an extremely sensitive and comprehensive indicator of the fluctuating political climate as well as investor confidence. Therefore, in an era of fierce media competition, the long-term influence of political behaviors on the Taiwan stock market is an important issue. However, the traditional regression model can only describe the “average” influence of variables on rate of return rather than completely describe conditional distribution as in quantile regression, which also analyzes correlations between stock return and the congressional effect.     

A profitable model for predicting the over/under market in football

The over/under 2.5 goals betting market allows gamblers to bet on whether the total number of goals in a football match will exceed 2.5. In this paper, a set of ratings, named ‘Generalised Attacking Performance’ (GAP) ratings, are defined which measure the attacking and defensive performance of each team in a league. GAP ratings are used to forecast matches in ten European football leagues and their profitability is tested in the over/under market using two value betting strategies. GAP ratings with match statistics such as shots and shots on target as inputs are shown to yield better predictive value than the number of goals. An average profit of around 0.8 percent per bet taken is demonstrated over twelve years when using only shots and corners (and not goals) as inputs. The betting strategy is shown to be robust by comparing it to a random betting strategy.     

Volatility transmission and financial crises

In this paper we examine the international transmission of the 1997 South East Asia financial crisis. We estimate a bivariate GARCH-BEKK model, and carry out LR tests for causality-in-variance with bootstrapped critical values. Three pairwise models are estimated for US, European, Japanese and South East Asian daily stock market returns. Volatility spillovers are found in all cases. The dynamics of the conditional volatilities differ, but causality links in the variance are found to be strong and bidirectional in normal periods, and unidirectional (from the markets in turmoil to the others) following the onset of the crisis, consistently with crisiscontingent models. The authors are grateful to an anonymous referee, Graciela Kaminsky, Marco Barassi, Andrea Cipollini and participants in the 2001 AEA Meetings, New Orleans, January 5–7, 2001, and in the Australasian Meeting of the Econometric Society, Auckland, New Zealand, July 6–8, 2001 for useful comments and suggestions Financial assistance from Leverhulme grant F/711/A, “Volatility of share prices and the macroeconomy: real effects of financial crises”, is also gratefully acknowledged.