Academic literature on the topic 'Betting'

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Journal articles on the topic "Betting"

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Rose, I. Nelson. "Betting on Sports Betting." Gaming Law Review and Economics 18, no. 10 (December 2014): 953–60. http://dx.doi.org/10.1089/glre.2014.18102.

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Filby, Mike, and Lee Harvey. "Recreational betting: individual betting profiles." Leisure Studies 8, no. 3 (September 1989): 219–27. http://dx.doi.org/10.1080/02614368900390221.

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Lee, Nanhee, Hyojeong Jeon, and Eunkyoung Goh. "Path Analysis of Youth Betting Behavior by Accessibility Level." Korean Association For Learner-Centered Curriculum And Instruction 22, no. 15 (August 15, 2022): 151–66. http://dx.doi.org/10.22251/jlcci.2022.22.15.151.

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Objectives The purpose of this study is to provide data for an integrated understanding of youth betting behaviors and customized interventions for each path by identifying the paths of youth betting behaviors by accessibility level. Methods For this purpose, data from 571 adolescents residing across the country were collected, descriptive statistics and correlation analysis were performed with SPSS 21.0, and latent profile analysis was performed using the ‘tidyLPA’ package in R version 3.6.1 environment. Next, the pathways of neglect and abuse on depression, impulsivity, betting behavior expectations, irrational beliefs, and adolescent betting behaviors were identified with AMOS 21.0 by level of betting behavior accessibility. Results First, for adolescent betting behavior paths by accessibility level, the coefficient differences between the path from impulsivity to betting behavior, the path from betting behavior expectation to betting behavior, and the path from irrational belief to betting behavior were found to be statistically significant. Second, the path that affects betting behavior in the group with high accessibility is the path from neglect to betting behavior through irrational beliefs, the path from neglect to depression, impulsivity, betting behavior expectations, the path to betting behavior through irrational beliefs, and the path from abuse to betting behavior The path to betting behavior through depression, impulsivity, betting behavior expectation, and irrational beliefs and the path from abuse to betting behavior through impulsivity, betting behavior expectation and irrational beliefs are significant. Third, in the group with low accessibility, a significant path leading to betting behavior does not appear. Conclusions This study confirmed the distinct differences in specific pathways on adolescent betting behavior by accessibility level, and confirmed multidimensional pathways by accessibility level by inputting betting behavior expectancy variables, which were not covered in domestic studies, together with major variables of adolescent betting behaviors. This broadened the understanding of youth betting behavior and presented evidence for customized intervention.
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Paton, David, and Leighton Vaughan Williams. "Do betting costs explain betting biases?" Applied Economics Letters 5, no. 5 (May 1998): 333–35. http://dx.doi.org/10.1080/758524413.

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Lee, Woo-Kyung, Seung-Hyeon Kim, and Chul-Kyu Jung. "The Relationship between Participation Motive in Golf Betting, Betting Disposition, Golf Betting Immersion, and Golf Betting Addiction." Korean Association of Addiction Crime Review 7, no. 4 (December 30, 2017): 101–21. http://dx.doi.org/10.26606/kaac.2017.7.4.101.

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Lee, Woo-Kyung, Seung-Hyeon Kim, and Chul-Kyu Jung. "The Relationship between Participation Motive in Golf Betting, Betting Disposition, Golf Betting Immersion, and Golf Betting Addiction." Korean Association of Addiction Crime Review 7, no. 4 (December 30, 2017): 101–21. http://dx.doi.org/10.26606/kaac.2017.7.4.6.

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Yüce, Arif, Sevda Gökce Yüce, Hakan Katırcı, Volkan Aydoğdu, Weisheng Chiu, and Mark D. Griffiths. "The Effect of the COVID-19 Pandemic on Sports Betting Tipsters as Professional Bettors: A Qualitative Interview Study." Sustainability 15, no. 9 (May 8, 2023): 7729. http://dx.doi.org/10.3390/su15097729.

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Although the COVID-19 pandemic impacted individuals who bet on sports, sports betting tipsters (SBTs; i.e., individuals who provide professional tips on the outcome of sporting events) were arguably among the most affected groups. Consequently, the aim of the present study was to explore how SBTs in Turkey were affected by the COVID-19 pandemic, including alternate forms of gambling engagement (e.g., e-sports betting). Semi-structured interviews were conducted with 85 SBTs aged between 20 and 48 years. The data were analyzed using thematic analysis to identify common themes. Based on the qualitative analysis, four themes emerged: (i) the meaning and role of sports betting, (ii) the effects of the pandemic on life and sports betting, (iii) comparing e-sports betting vs. traditional sports betting, and (iv) possible sports betting behavior if the pandemic continues. SBTs reported experiencing psychological distress as a result of the COVID-19 pandemic’s cancellation of sporting events. More specifically, SBTs reported a sense of emptiness because of the lack of sports betting. Furthermore, SBT reported suffering a loss of income and turning to e-sports betting during the pandemic. However, the majority of SBTs did not find betting on e-sports as exciting as traditional betting but reported they would continue to engage in e-sports betting if traditional sports betting was not available. The findings of this study can contribute to a better understanding of the impact of SBTs on individuals and further provide practical implications for policymakers to promote a safe, sustainable, and long-term growth of the sports betting industry in Turkey.
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ADAMS, BRIAN R., FRANK W. RUSCO, and W. DAVID WALLS. "PROFESSIONAL BETTORS, ODDS-ARBITRAGE COMPETITION, AND BETTING MARKET EQUILIBRIUM." Singapore Economic Review 47, no. 01 (April 2002): 111–27. http://dx.doi.org/10.1142/s021759080200033x.

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A slew of empirical evidence on horse racetrack betting markets points to betting biases and market inefficiency. More recent empirical work has documented the absence of betting biases in racetrack betting markets characterized by a high volume of betting. This paper offers a competition-based model of betting behavior that is consistent with the pattern of betting biases reported in the literature. We postulate the existence of professional bettors who, being better informed and/or having different objectives than the general betting population, engage in odds arbitrage when doing so is profitable. We evaluate the case of a single odds-arbitraging bettor first in order to establish the fundamental properties of odds arbitrage. We then examine the effects of entry of professional bettors who play a Nash game in odds arbitrage; the results show that professionals' participation causes the final track odds to converge to the level implied by the horses' true win probabilities when there is a high volume of betting.
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Demir, Gülcan, and Chiwoza Bandawe. "The Interest in Betting, Smoking, Alcohol, and Drugs in Malawi: Changing Trends between 2012-2022." Malawi Medical Journal 36, no. 1 (March 13, 2024): 30–37. http://dx.doi.org/10.4314/mmj.v36i1.5.

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BackgroundIn recent years, the online gambling market has rapidly developed, and betting has become one of the most popular forms of gambling. The aim of this study was to analyse the interest of the Malawian population in terms related to betting, sports betting, alcohol, cigarettes, and some psychoactive drugs through the relative search volumes of Google Trends. Methods Internet search query data related to betting, sports betting, alcohol, cigarettes, and psychoactive drugs were obtained monthly from Google Trends for the period 2010-2022. Comparisons of interest levels in these topics were conducted in Malawi, and correlation coefficients were calculated.Results In Malawi, relative search volumes for betting and sports betting terms were the highest (average RSVs: 66% and 30%). It was found that from 2019 onwards, the interest in betting and sports-related search topics and keywords increased significantly (p < 0.001). Strong positive correlations were found between betting-related keywords and alcohol and gross domestic product (r = 0.831 and r = 0.901, p < 0.001). A positive correlation was found between betting and psychoactive drug-related terms (minimum r = 0.417, p < 0.01). Conclusions This study concludes that the interest of the Malawian population in betting has increased in recent years, while interest in psychoactive drugs and alcohol remains high. Gross domestic product is highly correlated with society’s interest in betting. It was additionally found that Google Trends can be used as a tool to predict and monitor future risky behaviours, such as gambling disorder.
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Paul, Rodney, Andrew P. Weinbach, and Kenneth Small. "The Relationship between Sportsbook Volume, Forecast Accuracy, and Market Efficiency: The NFL and NCAA Football." Journal of Prediction Markets 8, no. 2 (September 12, 2014): 29–42. http://dx.doi.org/10.5750/jpm.v8i2.888.

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Using betting market volume data for the NFL and NCAA Football, we examine the role of betting volume as it relates to bettor biases, forecast accuracy, and volume-based betting market strategies. We find that betting volume has a statistically significant effect on the percentage bet on the favorite, but its impact is different between the two levels of football. Increased betting volume was shown to not have an impact on forecast accuracy in the sports. Simple betting simulations revealed that underdogs win more than implied by efficiency in low-volume NFL games, but other strategies did not reject market efficiency.
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Dissertations / Theses on the topic "Betting"

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Twomey, Paul. "Market efficiency of horse-race betting markets with applications to spread betting." Thesis, University of Sussex, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.483596.

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Windross, Allen J., University of Western Sydney, of Arts Education and Social Sciences College, and School of Humanities. "Betting by the Book." THESIS_CAESS_HUM_Windross_A.xml, 2002. http://handle.uws.edu.au:8081/1959.7/432.

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'Betting by the Book' details the steps taken in, and results obtained from, an examination of the processes followed, especially in Australia, of those persons who bet on thoroughbred horseracing. The work briefly describes the evolution of the practice of this form of gambling and details the extent of the activity in the Australian nation. Note is made of the obvious limited amount of attention previously given to the topic by academia. Using illustrations of the extent of the complexity and resulting uncertainty of outcome in selecting winning horses the study finds that the consequential behaviour of almost all those who bet is the adoption of a co-ordinated process of selection commonly referred to as a system. As hypothesised the study found three major categories,viz., logical, naive and superstitious. Sub-types of the three categories, devised as a part of the study, are listed and defined. Unexpectedly the work brought to attention the finding that most bettors, even those following logical systems, will, at times, adopt superstitious practices. Examples are provided of logical, yet simple, selection systems that could be beneficially adopted by those persons who would otherwise follow naive and superstitious systems of selection. Finally the study notes the considerable opportunities that exist for the education of bettors.
Master of Arts (Hons) (Gambling Studies)
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Windross, Allen J. "Betting by the Book." Thesis, View thesis View thesis, 2002. http://handle.uws.edu.au:8081/1959.7/432.

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'Betting by the Book' details the steps taken in, and results obtained from, an examination of the processes followed, especially in Australia, of those persons who bet on thoroughbred horseracing. The work briefly describes the evolution of the practice of this form of gambling and details the extent of the activity in the Australian nation. Note is made of the obvious limited amount of attention previously given to the topic by academia. Using illustrations of the extent of the complexity and resulting uncertainty of outcome in selecting winning horses the study finds that the consequential behaviour of almost all those who bet is the adoption of a co-ordinated process of selection commonly referred to as a system. As hypothesised the study found three major categories,viz., logical, naive and superstitious. Sub-types of the three categories, devised as a part of the study, are listed and defined. Unexpectedly the work brought to attention the finding that most bettors, even those following logical systems, will, at times, adopt superstitious practices. Examples are provided of logical, yet simple, selection systems that could be beneficially adopted by those persons who would otherwise follow naive and superstitious systems of selection. Finally the study notes the considerable opportunities that exist for the education of bettors.
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Thaysen, Maren. "Sportwetten in Deutschland : zur rechtlichen Zulässigkeit des neuen Staatsmonopols und eines liberalisierten Sportwettenmarktes /." Baden-Baden (Ger.) : Nomos, 2009. http://d-nb.info/99392431X/04.

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Turton, Felix. "A study of inefficiency and arbitrage opportunity an empirical analysis of the fixed and demand-based betting market /." Diss., Connect to the thesis, 2008. http://hdl.handle.net/10066/1457.

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Donnelly, James P. "NFL Betting Market: Using Adjusted Statistics to Test Market Efficiency and Build a Betting Model." Scholarship @ Claremont, 2013. http://scholarship.claremont.edu/cmc_theses/721.

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The use of statistical analysis has been prevalent in the sports gambling industry for years. More recently, we have seen the emergence of "adjusted statistics", a more sophisticated way to examine each play and each result (further explanation below). And while adjusted statistics have become commonplace for professional and recreational bettors alike, little research has been done to justify their use. In this paper the effectiveness of this data is tested on the most heavily wagered sport in the world – the National Football League (NFL). The results are studied with two central questions in mind: Does the market account for the information provided by adjusted statistics? And, can this data be interpreted to create a profitable betting strategy? First, the Efficient Market Hypothesis is introduced and tested using these new variables. Then, a betting model is built and tested.
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Li, Tsz-ho Howard. "Betting complex 2000 : Yuen Long maxi centre /." Hong Kong : University of Hong Kong, 1996. http://sunzi.lib.hku.hk/hkuto/record.jsp?B25948994.

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Altmann, Anton. "A statistical approach to sports betting." Thesis, City University London, 2004. http://openaccess.city.ac.uk/8431/.

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While gambling on sports fixtures is a popular activity, for the majority of gamblers it is not a profitable one. In order to make a consistent profit through gambling, one of the requirements is the ability to assess accurate probabilities for the outcomes of the events upon which one wishes to place bets. Through experience of betting, familiarity with certain sports and a natural aptitude for estimating probabilities, a small number of gamblers are able to do this. This thesis also attempts to achieve this but through purely scientific means. There are three main areas covered in this thesis. These are the market for red and yellow cards in Premier League soccer, the market for scores in American football (NFL) and the market for scores in US Basketball (NBA). There are several issues that must be considered when attempting to fit a statistical model to any of these betting markets. These are introduced in the early stages of this thesis along with some previously suggested solutions. Among these, for example, is the importance of obtaining estimates of team characteristics that reflect the belief that these characteristics adjust over time. It is also important to devise measures of evaluating the successo f any model and to be able to comparet he predictive abilities of different models for the same market. A general method is described which is suitable for modelling the sporting markets that are featured in this thesis. This method is adapted from a previous study on UK soccer results and involves the maximisation of a likelihood function. In order to make predictions that have any chance of competing with the odds supplied by professional bookmakers, this modelling process must be expanded to reflect the idiosyncrasies of each sport. With the market for red and yellow cards in Premier League soccer matches, in addition to considering the characteristics of the two teams in the match, one must also consider the effect of the referee. It is also discovered that the average booking rate for Premier League soccer matches varies significantly throughout the course of a season. The unusual scoring system used in the NFL means that a histogram of the final scores for match results does not resemble any standard statistical distribution. There is also a wealth of data available for every NFL match besides the final score. It is worth investigating whether by exploiting this additional past data, more accurate predictions for future matches can be obtained. The analysis of basketball considers the busier schedule of games that NBA teams face, compared to NFL or Premier League soccer teams. The result of one match may plausibly be affected by the number of games that the team has had to play in the days immediately before the match. Furthermore, data is available giving the scores of the game at various stages throughout the match. By using this data, one can assess to what extent, and in which situations, the scoring rate varies during a match. These issues, among many others, are addressed during this thesis. In each case a model is devised and a betting strategy is simulated by comparing model predictions with odds that were supplied by professional bookmakers prior to fixtures. The limitations of each model are discussed and possible extensions of the analysis are suggested throughout.
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Li, Tsz-ho Howard, and 李子豪. "Betting complex 2000: Yuen Long maxicentre." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1996. http://hub.hku.hk/bib/B31982967.

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Zhang, Chi. "Economic analysis of horseracing betting markets." Thesis, University of York, 2017. http://etheses.whiterose.ac.uk/17852/.

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This thesis presents both empirical and theoretical studies on horseracing betting markets. The first two chapters mainly deal with the insider trading problem in the betting markets based on the Shin model (1993) and its extension (Jullien and Salanié (1994)) by employing a novel data set from Yorkshire racecourses during the 2013-2014 racing season. Apart from measuring the incidence of insider trading, we empirically test market efficiency. Our result demonstrates that the degree of insider trading based on the original Shin measure is slightly lower than the calculation based on its extension. We also find no evidence to confirm that the market is strongly efficient. The next chapter studies price-determining factors that affect the starting prices in the racing markets by utilising a unique cross-sectional and time series data set. We find strong evidence to suggest that the winning potential, the age of the horse, the weight the horse carries and the distance of the race are very significant factors in explaining the starting prices. Our findings also confirm that the condition of the turf, the size of the racecourse and the classification of the race have influences on the price. In the last chapter, we propose a theoretical model of how betting odds are adjusted by bookmakers in betting markets. We introduce the optimal stopping techniques into the betting literature for the first time through a two-horse simple benchmark model with both informed and uninformed noise punters. Our main finding shows that increased fraction of informed traders will initially lift the loss per trade to the bookmaker, but after reaching a certain point the loss declines. We also find out that as the fraction of noise traders goes up, the loss is incurred to learn, but the learning process is less informative and the costs are the same, so the decision of changing the prices for each horse is taken sooner.
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Books on the topic "Betting"

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Andrew, Beatt, and Key Note Publications, eds. Betting & gaming. 7th ed. Hampton: Key Note Publications, 1994.

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Rozmeen, Tambe, and Key Note Publications, eds. Betting & gaming. Hampton: Key Note, 2003.

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Group, Mintel International, ed. Betting shops. London: Mintel International Group, 2001.

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Philippa, Drewer, and Key Note market report, eds. Betting & gaming. Hampton: Key Note Ltd, 2003.

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Group, Mintel International, ed. Online betting. London: Mintel International, 2001.

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Dominic, Fenn, and Key Note Publications, eds. Betting & gaming. Hampton: Key Note Ltd, 2000.

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Publications, Key Note, ed. Betting & gaming. 3rd ed. Hampton: Key Note Publications, 1990.

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Phillippa, Smith, and Key Note Publications, eds. Betting & gaming. Hampton: Key Note, 1998.

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Betting blind. New York: Skyscape, 2014.

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Group, Mintel International, ed. Betting shops. London: Mintel International, 1997.

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Book chapters on the topic "Betting"

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Werthamer, N. Richard. "Betting." In Risk and Reward, 23–35. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91385-8_4.

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Werthamer, N. Richard. "Betting." In Risk and Reward, 21–30. New York, NY: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0253-5_4.

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Beggs, Clive. "Betting Strategies." In Soccer Analytics, 207–37. Boca Raton: Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003328568-7.

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Forrest, David. "Sports Betting." In The SAGE Handbook of Sports Economics, 534–43. 1 Oliver's Yard, 55 City Road London EC1Y 1SP: SAGE Publications Ltd, 2019. http://dx.doi.org/10.4135/9781526470447.n52.

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Ethier, Stewart N. "Betting Systems." In Probability and its Applications, 275–316. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-78783-9_8.

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Connock, Alex. "Sports Betting." In Media Management and Live Experience, 143–61. London: Routledge, 2024. http://dx.doi.org/10.4324/9781003435167-9.

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Eckhardt, William. "The Betting Crowd." In Paradoxes in Probability Theory, 11–13. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-5140-8_3.

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Borges, Maurício Ferrão Pereira. "Sports Betting: Brazil." In Sports Betting: Law and Policy, 253–63. The Hague, The Netherlands: T. M. C. Asser Press, 2011. http://dx.doi.org/10.1007/978-90-6704-799-9_13.

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Pelletier, Perrine, Thibault Verbiest, and Geoffroy Lebon. "Betting in France." In Sports Betting: Law and Policy, 383–409. The Hague, The Netherlands: T. M. C. Asser Press, 2011. http://dx.doi.org/10.1007/978-90-6704-799-9_21.

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Schumaker, Robert P., Osama K. Solieman, and Hsinchun Chen. "Betting and Gaming." In Integrated Series in Information Systems, 109–14. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-6730-5_12.

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Conference papers on the topic "Betting"

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Chen, Yiling, Lance Fortnow, Evdokia Nikolova, and David M. Pennock. "Betting on permutations." In the 8th ACM conference. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1250910.1250957.

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Ghodsi, Mohammad, Hamid Mahini, Vahab S. Mirrokni, and Morteza ZadiMoghaddam. "Permutation betting markets." In the 9th ACM conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1386790.1386821.

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Landherr, Pablo. "J and sports betting." In the 2001 conference. New York, New York, USA: ACM Press, 2001. http://dx.doi.org/10.1145/570407.570409.

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Antón, A. Pérez, M. J. Santos, M. D. Merchán, and C. Prieto. "Betting on innovation and experiments." In TEEM'16: 4th International Conference on Technological Ecosystems for Enhancing Multiculturality. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/3012430.3012615.

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Hsieh, Chung-Han, and B. Ross Barmish. "On Kelly betting: Some limitations." In 2015 53rd Annual Allerton Conference on Communication, Control and Computing (Allerton). IEEE, 2015. http://dx.doi.org/10.1109/allerton.2015.7447000.

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Bhatt, Vishvak, Udgam Aggarwal, and C. N. S. Vinoth Kumar. "Sports Data Visualization and Betting." In 2022 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON). IEEE, 2022. http://dx.doi.org/10.1109/smartgencon56628.2022.10083831.

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Hsieh, Chung-Han, B. Ross Barmish, and John A. Gubner. "Kelly betting can be too conservative." In 2016 IEEE 55th Conference on Decision and Control (CDC). IEEE, 2016. http://dx.doi.org/10.1109/cdc.2016.7798825.

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Hamalainen, P., M. Hannikainen, T. D. Hamalainen, and R. Soininen. "Offline architecture for real-time betting." In 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698). IEEE, 2003. http://dx.doi.org/10.1109/icme.2003.1221016.

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Backe, Pål, Anita Andersen, Thomas Plagemann, and Anders Spilling. "Mobile services for horse-race betting." In the 2nd international conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1374296.1374342.

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Rosca, Cosmina-Mihaela, and Adrian Stancu. "Real-time betting algorithm for tennis matches." In 2022 14th International Conference on Electronics, Computers and Artificial Intelligence (ECAI). IEEE, 2022. http://dx.doi.org/10.1109/ecai54874.2022.9847483.

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Reports on the topic "Betting"

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Frazzini, Andrea, and Lasse Pedersen. Betting Against Beta. Cambridge, MA: National Bureau of Economic Research, December 2010. http://dx.doi.org/10.3386/w16601.

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Jordà, Òscar, Moritz HP Schularick, and Alan Taylor. Betting the House. Cambridge, MA: National Bureau of Economic Research, December 2014. http://dx.doi.org/10.3386/w20771.

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Hooker, Reece. Betting on China's Belt and Road. Monash University, July 2023. http://dx.doi.org/10.54377/5696-d4f9.

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Casagrande, Daniel. No one's betting the farm on robots. Edited by Josh Pitt. Monash University, June 2022. http://dx.doi.org/10.54377/d480-c1c7.

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Bottan, Nicolas, and Ricardo Perez-Truglia. Betting on the House: Subjective Expectations and Market Choices. Cambridge, MA: National Bureau of Economic Research, June 2020. http://dx.doi.org/10.3386/w27412.

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Byrd, Christopher J. U.S. COIN Doctrine: Betting the Future on a Too Distant Past. Fort Belvoir, VA: Defense Technical Information Center, May 2012. http://dx.doi.org/10.21236/ada566571.

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Breman, Carlotta, and Servaas Storm. Betting on black gold: Oil speculation and U.S. inflation (2020-2022). Institute for New Economic Thinking Working Paper Series, June 2023. http://dx.doi.org/10.36687/inetwp208.

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Sharp increases in systemically important crude oil prices have been a major cause of the recent surge in the inflation rate in the U.S. This paper investigates the extent to which the increase in oil prices can be attributed to excessive speculation in the oil futures market. Our analysis suggests that excessive speculation in the crude oil market has been responsible for 24%-48% of the increase in the WTI crude oil price during October 2020-June 2022. These estimates translate into an oil price increase of around $18-$36 per barrel and an increase in the U.S. PCE inflation rate by circa 0.75 to 1.5 percentage points during the same period. We complement the analysis with an empirical investigation of the crude oil market which shows that (speculative) long non-commercial open-interest positions in oil futures have increased considerably relative to short non-commercial positions. We further find that higher futures prices for crude oil ‘Granger-cause’ oil spot prices, the futures prices of corn and soybeans and the fertilizer price. These econometric results show that oil speculators have to be held accountable for not just raising oil prices, but also driving up food commodity prices. We finally discuss measures to clamp down on excessive speculation in oil in order to eliminate its systemically adverse consequences for the U.S. economy.
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8

Calomiris, Charles, and Jonathan Pritchett. Betting on Secession: Quantifying Political Events Surrounding Slavery and the Civil War. Cambridge, MA: National Bureau of Economic Research, November 2013. http://dx.doi.org/10.3386/w19625.

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9

Auld, Tom, and Oliver Linton. The behaviour of betting and currency markets on the night of the EU referendum. The IFS, January 2018. http://dx.doi.org/10.1920/wp.cem.2018.0118.

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10

Hendricks, MIchael L. Betting on the Come" -- The People's Liberation Army Combined Arms Gamble for the 21st Century". Fort Belvoir, VA: Defense Technical Information Center, December 1997. http://dx.doi.org/10.21236/ada340324.

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