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The use of sport as an empirical setting to study different organizational and economic phenomena is continuously increasing (Day et al., 2012; Kahn, 2000; Wolfe et al., 2005). Specifically, in the finance literature, sports have been used to examine market efficiency (e.g., Edmans et al., 2007; Golec & Tamarkin, 1991; Gray & Gray, 1997, Woodland & Woodland, 1997), the financing of sports facilities (Baade & Matheson, 2006; Coates & Humphreys, 2003; Rebeggiani, 2006), and mega events (Madden, 2006).In addition, sports have many unique qualities, which contribute to an industry generating revenues estimated between 44 and 60 billion dollars in the United States (Humphreys & Ruseski, 2009). The study of sports has emerged both as an academic major and as a field of research, with sports financing being one of the main areas of scholarship in the field of research. Thus, the primary goal of this Special Issue will highlight sports’ activities as an empirical setting for understanding financial phenomena and will highlight sports’ unique financial idiosyncratic characteristics. Topics in this Special Issue can include, but are not limited to, non-profit sports clubs, mega events, financial issues related to stadiums and arenas, amateur and professional sports leagues and teams, and gambling markets, including sports betting, lotteries, and other games of chance.
sports --- gambling --- risk --- mega-sport events --- non-profit sports activities --- professional sports --- amateur sports --- sports clubs
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Sports economics is a relatively new field of research that is experiencing rapid growth in the economics literature. The importance of the sports industry to economies coupled with the availability of financial and productivity data have made the study of sports economics a useful avenue for exploring research questions that have eluded mainstream economics fields. The main goal of this Special Issue of the International Journal of Financial Studies is to encourage theoretical and applied research in sports economics, which is of interest to both academics and practitioners. For this purpose, this Special Issue on “Sports Finance” invites papers on topics, such as, but not limited to, salary determination, ticket pricing, revenue sharing, salary caps, competitive balance, new stadium financing, rival league behavior, determinants of revenue, television and media, tournament prize structures, financial distress in professional sports, financial fair play, financial control of sports clubs, Third Party Ownership, financial efficiency in professional sports, budget constrains and sport performance, financial information of sports, ownership of professional sport clubs and Crowdfunding in sports. Papers on both professional and amateur sports are welcome.
earnings persistence --- accruals --- earnings predictability --- European football clubs --- financial fair play --- revenue sharing --- welfare --- moments --- risk aversion --- sports finance --- soft budget constraint --- payment failure --- disequilibrium modelling --- segmented labour market --- French soccer --- football --- audit fees --- audit shopping --- Financial Fair Play --- UEFA --- JEL Classification --- Z2 --- M41 --- M42 --- football --- regulation --- financial fair play --- financial recovery --- polarization --- finance --- financial health --- cricket --- professional team sport --- profit maximisation --- subsidy --- grants --- attendance --- hockey --- fighting --- uncertainty of outcome --- bonuses --- effort --- fighter performance --- mixed martial arts (MMA) --- Ultimate Fighting Championship (UFC) --- World Extreme Cagefighting (WEC) --- Zuffa LLC --- college sports --- finances --- economics --- NHL --- KHL --- country of origin --- salary
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This book presents cross-discipline studies covering aspects ranging from animal science to social/consumer sciences and psychology, with the aim to collect and disseminate information promoting the continuous enhancement of animal welfare by improving stakeholders’ perception of animal welfare. Although animal welfare is about how the animals perceive the surrounding environment, the actual welfare of the animals is dependent on how the stakeholders perceive and weigh animal welfare. The stakeholders can, either directly (i.e., through stock-people interaction with the animals) or indirectly (e.g., when retailers and consumers are willing to pay more for high welfare animal-based products), affect the way animals are kept and handled.
veterinary student --- animal ethics --- pain perception --- animal --- animal welfare --- Animal welfare --- husbandry practices --- lambs --- pain --- sheep farmers --- perception --- agreement --- aggression --- animal welfare --- desensitization --- perception --- pigs --- animal welfare --- young adult --- animal attitudes --- children --- farm animals --- animal welfare --- education --- technology --- animal welfare --- Asia --- knowledge --- slaughter --- transport --- training --- animal welfare --- benefit --- profit --- human health --- Asia --- livestock --- farmer perception --- citizen perception --- qualitative research --- free elicitation narrative interviews --- animal welfare --- consumer --- willingness to pay --- pig --- castration --- immunocastration --- information --- survey --- human-animal relationship --- fear --- laying hen --- stockpeople attitudes --- stockperson behaviour --- egg farm --- albumen corticosterone --- welfare --- animal welfare --- stakeholder perception --- text mining --- horse --- donkey --- goat --- sheep --- turkey --- farm animal welfare (FAW) --- willingness to pay --- food safety concerns --- ethical concerns --- perceived consumer effectiveness --- broiler --- dairy buffalo --- human-animal relationship --- animal behavior --- test-retest reliability --- avoidance distance --- milk production --- animal welfare --- animal welfare --- stunning --- religious slaughter --- veterinary students --- Halal meat --- racehorse welfare --- staff shortages --- horse–human relationship --- standards of care --- employee relations --- consumer demand --- economics --- farm animal welfare --- producer perspective
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There is no denying the role of empirical research in finance and the remarkable progress of empirical techniques in this research field. This Special Issue focuses on the broad topic of “Empirical Finance” and includes novel empirical research associated with financial data. One example includes the application of novel empirical techniques, such as machine learning, data mining, wavelet transform, copula analysis, and TV-VAR, to financial data. The Special Issue includes contributions on empirical finance, such as algorithmic trading, market efficiency, market microstructure, portfolio theory and asset allocation, asset pricing models, liquidity risk premium, currency crisis, return predictability, and volatility modeling.
text similarity --- text mining --- machine learning --- SVM --- neural network --- LSTM --- credit risk --- ensemble learning --- deep learning --- bagging --- random forest --- boosting --- deep neural network --- causality-in-variance --- cross-correlation function --- housing and stock markets --- algorithmic trading --- take profit --- stop loss --- MACD --- ATR --- city banks --- dependence structure --- copula --- n/a --- market microstructure --- price discovery --- latency --- currency crisis --- random forests --- wavelet transform --- predictive accuracy --- housing price --- bank credit --- housing loans --- real estate development loans --- TVP-VAR model --- exchange rate --- volatility --- exports --- ARDL --- Vietnam --- crude oil futures prices forecasting --- convolutional neural networks --- short-term forecasting --- utility of international currency --- inertia --- liquidity risk premium --- US dollar --- Japanese yen --- cointegration --- statistical arbitrage --- natural gas --- wholesale electricity --- futures market --- spark spread --- earnings management --- earnings manipulation --- earnings quality --- initial public offering --- IPO --- asset pricing model --- data mining --- bankruptcy prediction --- financial and non-financial variables --- institutional investors’ shareholdings --- panel data model --- piecewise regression model --- global financial crisis --- gold return --- asymmetric dependence --- financial market stress --- robust regression --- quantile regression --- structural break --- flight to quality
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