Wyniki wyszukiwania - Biblioteka Nauki

1

Developing the Moral Integrity of College Sport through Commercialism

100%

Schneider R.

Physical Culture and Sport. Studies and Research

|

2010

|

tom 49

|

nr 1

30-38

EN

Despite criticisms that commercialism corrupts college sports (Duderstadt, 2003, Roberts 2008, Zimbalist 2006), commercialism, if executed appropriately can strengthen and develop the moral integrity of sport. A utilitarian approach to the commercialization of sport can be used to strengthen its moral integrity. From a utilitarian standpoint, John Stuart Mill's greatest happiness principle and Jeremy Bentham's hedonic calculus can be used to help determine specific approaches to the commercialization of sport. The interests of the sporting community including sport participants, coaches, administrators, fans, and community members, must be considered when commercializing sport to a moral end. Thoroughly understanding a morally grounded mission in a sport organization is a prerequisite to the effective negotiation of terms of commercial agreements that mutually support the mission of the commercial entity and sport organization. The commercialization of sport includes but is not limited to television contracts, venue signage, licensing of merchandise, and corporate sponsorships. Identifying a professional "fit" between the sport organization and commercial entity is imperative. The use of common sense, and experience as outlined by Mill and Bentham (as cited in Beauchamp 1982) and understanding human nature as outlined by Hume (1739/1964) are useful when attempting to determine how particular commercialism efforts may consciously or subconsciously develop or reduce the moral integrity of sport. Beyond sport, the influences and risks of commercialism can be understood by observing its effect on non-sport organizations. Threats to the moral integrity of sport arise when entering into revenue generating commercial agreements. Sport's overreliance on revenue from a commercial entity is a factor that can potentially cause deviation from a sport organization's morally based mission. Excessive expansion and lavish funding of sport organizations can contribute to overreliance on revenue from commercial entities. Personal greed can also play a role in detracting from the moral integrity of the mission.

2

Developing the Moral Integrity of College Sport through Commercialism

100%

Schneider R.

|

EN

Despite criticisms that commercialism corrupts college sports (Duderstadt, 2003, Roberts 2008, Zimbalist 2006), commercialism, if executed appropriately can strengthen and develop the moral integrity of sport. A utilitarian approach to the commercialization of sport can be used to strengthen its moral integrity. From a utilitarian standpoint, John Stuart Mill's greatest happiness principle and Jeremy Bentham's hedonic calculus can be used to help determine specific approaches to the commercialization of sport. The interests of the sporting community including sport participants, coaches, administrators, fans, and community members, must be considered when commercializing sport to a moral end. Thoroughly understanding a morally grounded mission in a sport organization is a prerequisite to the effective negotiation of terms of commercial agreements that mutually support the mission of the commercial entity and sport organization. The commercialization of sport includes but is not limited to television contracts, venue signage, licensing of merchandise, and corporate sponsorships. Identifying a professional "fit" between the sport organization and commercial entity is imperative. The use of common sense, and experience as outlined by Mill and Bentham (as cited in Beauchamp 1982) and understanding human nature as outlined by Hume (1739/1964) are useful when attempting to determine how particular commercialism efforts may consciously or subconsciously develop or reduce the moral integrity of sport. Beyond sport, the influences and risks of commercialism can be understood by observing its effect on non-sport organizations. Threats to the moral integrity of sport arise when entering into revenue generating commercial agreements. Sport's overreliance on revenue from a commercial entity is a factor that can potentially cause deviation from a sport organization's morally based mission. Excessive expansion and lavish funding of sport organizations can contribute to overreliance on revenue from commercial entities. Personal greed can also play a role in detracting from the moral integrity of the mission.

3

Application of ensemble of recurrent neural networks for forecasting of stock market sentiments

88%

Maknickiene N. , Lapinskaite I. , Maknickas A.

Equilibrium. Quarterly Journal of Economics and Economic Policy

|

2018

|

tom 13

|

nr 1

7-27

EN

Research background: Research and measurement of sentiments, and the integration of methods for sentiment analysis in forecasting models or trading strategies for financial markets are gaining increasing attention at present. The theories that claim it is difficult to predict the individual investor's decision also claim that individual investors cause market instability due to their irrationality. The existing instability increases the need for scientific research. Purpose of the article: This paper is dedicated to establishing a link between the individual investors' behavior, which is expressed as sentiments, and the market dynamic, and is evaluated in the stock market. This article hypothesizes that the dynamics in the market is unequivocally related to the individual investor's sentiments, and that this relationship occurs when the sentiments are expressed strongly and are unlimited. Methods: The research was carried out invoking the method of Evolino RNN-based prediction model. The data for the research from AAII (American Association of Individual Investors), an investor sentiment survey, were used. Stock indices and sentiments are forecasted separately before being combined as a single composition of distributions. Findings & Value added: The novelty of this paper is the prediction of sentiments of individual investors using an Evolino RNN-based prediction model. The results of this paper should be seen not only as the prediction of the connection and composition of investors' sentiments and stock indices, but also as the research of the dynamic of individual investors' sentiments and indices.

4

Incorporating investor behaviour in portfolio management in developed and emerging OECD stock markets

63%

Yacob N. , Mustapha M. , Abdullah S. M. M. , Ya’acob F. F.

Polish Journal of Management Studies

|

2020

|

tom Vol. 22, No. 1

611--625

EN

This paper aims to empirically investigate whether the investor sentiments could be employed to predict the returns of world stock market by engaging fourteen developed and emerging OECD countries. This study is novel in such that it incorporates both traditional finance theory and the behavioural finance, both from two different paradigms in finance. The massive data are examined using ARDL (p, q) model of panel data that spans from 2004 to 2018, which incorporates Pearson correlation and Dickey-Fuller regression analysis. Apart from the core stock market returns and consumer confidence indices, the study also integrates several macroeconomic fundamentals, which include money supply, inflation, interest rates, and effective exchange rates, as the possible behavioural explanatory variables. Empirical study results show only volatility of developed stock markets returns hold significant long-run effect with the investors’ sentiment whilst emerging markets showed only mild existence. However, the effects are temporary, which means it may not be able to systematically predict the future behaviours of the returns.

PL

Artykuł ma na celu empiryczne zbadanie, czy nastroje inwestorów można wykorzystać do przewidywania zwrotów z światowego rynku akcji, angażując czternaście rozwiniętych i wschodzących krajów OECD. Badanie to jest nowatorskie, ponieważ obejmuje zarówno tradycyjną teorię finansów, jak i finanse behawioralne, oba z dwóch różnych paradygmatów w finansach. Ogromne dane są badane przy użyciu modelu ARDL (p, q) danych panelowych obejmujących lata 2004-2018, który obejmuje korelację Pearsona i analizę regresji Dickeya-Fullera. Oprócz podstawowych zwrotów z rynku akcji i wskaźników zaufania konsumentów w badaniu uwzględniono również kilka fundamentów makroekonomicznych, w tym podaż pieniądza, inflację, stopy procentowe i efektywne kursy walutowe, jako możliwe behawioralne zmienne objaśniające. Wyniki badań empirycznych pokazują, że jedynie zmienność zwrotów z rynków rozwiniętych ma znaczący długoterminowy wpływ na nastroje inwestorów, podczas gdy rynki wschodzące wykazywały jedynie łagodne istnienie. Skutki są jednak tymczasowe, co oznacza, że może nie być w stanie systematycznie przewidywać przyszłych zachowań zwrotów.

5

Sentiment Analysis on Twitter by Using TextBlob for Natural Language Processing

63%

Hazarika D. , Konwar G. , Deb S. , Bora D. J.

Annals of Computer Science and Information Systems

|

2020

|

tom Vol. 24

63--67

EN

The Internet has become an innovative platform regarding online learning, exchanging content, sharing views. In this paper, we will use Twitter as our social networking platform. Sentiment analysis on Twitter is based on opinion mining on posts to obtain the user's point of view. The leading goal deals with how opinion mining techniques can be accessed to analyze some of the tweets in many reports involving various types of tweet languages on Twitter and classify its polarity. Practical implication shows that the proposed machine learning classifiers are efficient and highly accurate.

6

Internetowe predykcje notowań spółek giełdowych

51%

Woch A. , Wójcikiewicz M.

Studia Medioznawcze

|

2018

|

nr 1 (72)

57-66

PL

Na przykładzie możliwości predykcji notowań spółek giełdowych, korzystając z analizy sentymentów dotyczących tych przedsiębiorstw, wykazano, że Big Data jest wartościowym źródłem nowych informacji. Dowodzą tego wyniki analiz zależności między zasobami Big Data i wartościami akcji spółek KGHM, Enea, Synthos i Tauron. Dokonano interpretacji i klasyfikacji wypowiedzi użytkowników internetu, a następnie porównano zawarte w nich sentymenty (pozytywne, negatywne i neutralne) do notowań poszczególnych spółek z okresu stycznia i marca 2015 r.

EN

Through the example of opportunities of prediction of share prices on basis of the analysis of sentiments related with joint stock companies companies, this paper indicates that Big Data is a valuable source of new information. The authors have analyzed relations between Big Data resources and share prices of selected companies: KGHM, Enea, Synthos and Tauron. They have further made an interpretation and classification of the posts written by internet users. The analysis is being completed by research on sentiments (positive, negative and neutral) to share prices in the period of January and March 2015.