scholarly journals Hot Boot

2021 ◽  
Author(s):  
Russell Johnson-Laird ◽  
Philip Nicholas Johnson-Laird
Keyword(s):  
Stock Market ◽  
Basketball Players ◽  
Hot Hand ◽  
Better Than

Everyone knows that athletes can get the ‘hot hand’ and have a streak in which they perform better than normal, or an awful slump. But, a trio of psychologists – Gilovich, Vallone, and Tversky – published an analysis in 1985 showing that two NBA teams showed no such effects in either field goals or free throws. Later in 1989, Tversky and Gilovich debunked the hot hand in a further article in this journal. Basketball players were not the only ones to be dumbfounded. Yet, belief in the hot hand has been blamed for all sorts of anomalous bets on outcomes in sports, games in casinos, and trades in the stock market.

scholarly journals The Entropy Method

2021 ◽  
Author(s):  
Russell Johnson-Laird ◽  
Philip Nicholas Johnson-Laird
Keyword(s):  
Stock Market ◽  
Entropy Method ◽  
Hot Hand ◽  
Better Than

Everyone knows that athletes can get the ‘hot hand’ and have a streak in which theyperform better than normal, or an awful slump. But, a trio of psychologists – Gilovich,Vallone, and Tversky – published an analysis in 1985 showing that two NBA teamsshowed no such effects in either field goals or free throws. Later in 1989, Tversky andGilovich debunked the hot hand in a further article in this journal. Basketball playerswere not the only ones to be dumbfounded. Yet, belief in the hot hand has beenblamed for all sorts of anomalous bets on outcomes in sports, games in casinos, andtrades in the stock market.

scholarly journals SIZE EFFECT AND STOCK BEHAVIOR DURING THE EXPANSION AND CONTRACTION PHASES OF ECONOMIC CYCLE: An Empirical Evidence from Indonesian Stock Market

2013 ◽  
Vol 4 (3) ◽  
pp. 361
Author(s):  
Marwan Asri
Keyword(s):  
Statistical Analysis ◽  
Stock Market ◽  
Size Effect ◽  
Empirical Evidence ◽  
Small Firms ◽  
Large Firms ◽  
Economic Cycle ◽  
Stock Behavior ◽  
Better Than

Banz (1981) and Reiganum (1981) claim that, in terms of returncreation, small firms tend to perform better than large firms. They implicitly claim that the phenomena (which is known as size effect) is stable and exists over the period of examination. This study intends to investigate the existence of size effect in Indonesian market and more specifically, to test whether stages of economic cycle (expansion and contraction stages) determine the existence of the effect. The results of the study show that size effect does exist in the market for the whole period of observation (1991-2001). However, when the period is divided into two parts according to the stage of economic cycle, the  statistical analysis results are not supportive to the conclusion about the size effect.

Value, size, sector, and momentum stocks

2021 ◽  
pp. 187-198
Author(s):  
Jesper Rangvid
Keyword(s):  
Stock Market ◽  
Business Cycle ◽  
Stock Returns ◽  
The Business Cycle ◽  
Better Than ◽  
Do So

This chapter studies the characteristics of the most important and well-known factors. Factor portfolios are portfolios of stocks based on certain characteristics, such as the size of the company, the price of the stock in relation to, e.g., the earnings of the company, the sector within which the firm operates, etc.Factors that perform better than the overall stock market tend to suffer more during recessions. To compensate investors for their underperformance during recessions, returns on these factors during expansions are so high that average stock returns over the full business cycle end out being high. Conversely, those factors that provide lower average returns than the overall stock market do so because they perform relatively better during recessions. The business cycle again plays an important role for understanding stock-market patterns.

scholarly journals Evaluation of Tree-Based Ensemble Machine Learning Models in Predicting Stock Price Direction of Movement

Information ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 332
Author(s):  
Ernest Kwame Ampomah ◽  
Zhiguang Qin ◽  
Gabriel Nyame
Keyword(s):  
Machine Learning ◽  
Stock Market ◽  
Stock Price ◽  
Superior Performance ◽  
Operating Characteristics ◽  
Training Set ◽  
Data Set ◽  
Test Set ◽  
Ensemble Machine Learning ◽  
Better Than

Forecasting the direction and trend of stock price is an important task which helps investors to make prudent financial decisions in the stock market. Investment in the stock market has a big risk associated with it. Minimizing prediction error reduces the investment risk. Machine learning (ML) models typically perform better than statistical and econometric models. Also, ensemble ML models have been shown in the literature to be able to produce superior performance than single ML models. In this work, we compare the effectiveness of tree-based ensemble ML models (Random Forest (RF), XGBoost Classifier (XG), Bagging Classifier (BC), AdaBoost Classifier (Ada), Extra Trees Classifier (ET), and Voting Classifier (VC)) in forecasting the direction of stock price movement. Eight different stock data from three stock exchanges (NYSE, NASDAQ, and NSE) are randomly collected and used for the study. Each data set is split into training and test set. Ten-fold cross validation accuracy is used to evaluate the ML models on the training set. In addition, the ML models are evaluated on the test set using accuracy, precision, recall, F1-score, specificity, and area under receiver operating characteristics curve (AUC-ROC). Kendall W test of concordance is used to rank the performance of the tree-based ML algorithms. For the training set, the AdaBoost model performed better than the rest of the models. For the test set, accuracy, precision, F1-score, and AUC metrics generated results significant to rank the models, and the Extra Trees classifier outperformed the other models in all the rankings.

scholarly journals From the Lab to the Field: Effects of Self-Talk on Task Performance Under Distracting Conditions

2018 ◽  
Vol 32 (1) ◽  
pp. 26-32 ◽  
Author(s):  
Evangelos Galanis ◽  
Antonis Hatzigeorgiadis ◽  
Nikos Comoutos ◽  
Fedra Charachousi ◽  
Xavier Sanchez
Keyword(s):  
Task Performance ◽  
Field Experiments ◽  
Computer Game ◽  
Control Group ◽  
Science Students ◽  
Baseline Assessment ◽  
Basketball Players ◽  
Self Talk ◽  
Viable Mechanism ◽  
Better Than

This study explored the effectiveness of self-talk strategies on task performance under conditions of external distraction in laboratory and field experiments. In the laboratory experiment, 28 sport science students (Mage 21.48±1.58 years) were tested on a computer game requiring attention and fine execution following a baseline assessment and a short self-talk training. In the field experiment, 28 female basketball players (Mage 20.96±4.51 years) were tested on free-throwing, following a baseline assessment and a six-week intervention. In both settings the final assessment took place under conditions of external distraction (noncontinuous, sudden, loud noise). Analyses of covariance showed that participants of the self-talk group performed better than participants of the control group. Findings suggest that self-talk can counter the effects of distraction on performance, and indicate that the attentional effects of self-talk is a viable mechanism to explain the facilitating effects of self-talk on performance.

Effects of a Target RIM on Basketball Shooting Accuracy

1987 ◽  
Vol 64 (3) ◽  
pp. 863-866
Author(s):  
Larry A. Sage
Keyword(s):  
The Other ◽  
Basketball Players ◽  
Men's Basketball ◽  
Free Throw ◽  
Basketball Game ◽  
Eastern Washington ◽  
Washington University ◽  
Selection Of ◽  
Better Than ◽  
Basketball Shooting

The purpose of this study was to determine the effectiveness of a basketball target rim on free-throw and field-goal shooting accuracy. The target rims employed in this study were different from regular rims as the apparatus that connects the target rim to the backboard was painted a neutral color. Subjects included all of the 1984–85 Eastern Washington University men's basketball players and the other players on 10 basketball teams who played games with the Eastern Washington University men's basketball team in the 1984–85 season. Practice statistics were kept in all EWU shooting situations, drills as well as scrimmages. Individual game statistics of the entire basketball game were made for the 10 games in which the target rims were used. A random selection of combined free-throw and field-goal shooting accuracy taken during the practice sessions showed that shooting percentage on the target rim was noticeably higher than the shooting percentage on the regular rim. The shooting accuracy of the EWU team and the visiting teams during game competition showed that accuracy of field-goal shooting on the target rim was significantly better than on the regular rim but not for free-throw accuracy. The target rim may improve shooting accuracy and influence total scoring in basketball.

scholarly journals Evaluation of Wheelchair Basketball Skill Performance of Wheelchair Basketball Players in Different Game Positions

2018 ◽  
Vol 4 (75) ◽  
Author(s):  
Kęstutis Skučas ◽  
Stanislovas Stonkus ◽  
Bartosz Molik ◽  
Vytautas Skučas
Keyword(s):  
Social Interaction ◽  
Wheelchair Basketball ◽  
Basketball Players ◽  
Skill Performance ◽  
Center Position ◽  
Physical Abilities ◽  
Playing Time ◽  
Social Interaction Skills ◽  
Better Than

In wheelchair basketball the evaluation of the quality of disabled players’ movement, motion and action variety, sensomotoric, intelectual, social interaction skills, coordinative and physical abilities besides the natural tests (Brasile, 1986), quantitative and qualitative play results (technical actions carried out by a player during a game and during a minute of a game) are considered to be objective and informative. The aim of the research was to state and evaluate the playing skills of wheelchair basketball players in different game positions (a playmaker, a forward, a center) in official competitions. The play of 32 baketball players was under research. Aiming to analyse playing results of wheelchair basketball players in different game positions 20 games were video recorded by camera ”Panasonic NV-GS27“. The following actions of the players (playmakers, forwards, centers) with different functions in the team were recorded: playing time, passing, dribbling, shooting and its efficiency, rebounding and other important technical actions characterizing the activity of the players during the game. The integral preparation, ability to play, the playing quality were evaluated according to the methods of D. Byrnes and B. Hendrick (1994), giving high or low marks for each action. Results showed that centers were the most active ones, carrying out on average 2.5 actions per minute (forwards — 2.1, playmakers — 1.2), shooting 16 times per game (forwards — 7.7, playmakers — 5). The most universal players were also the centers, their passing and dribbling actions making up 25%, shooting actions — 20% of all the movements. The most accurate main technical actions were carried out by the centers: their shooting accuracy was 36% (that of wing players and playmakers being 30%). Centers’ integral qualification and playing skills (according to the methods used) were the highest rated + 42 points. Quantitative and qualitative playing results and the results of integral preparation of wheelchair basketball players in center position were significantly better than those of the playmakers and forwards.Keywords: wheelchair basketball, quantitative and qualitative playing results, integral qualification, player’s game positions.

scholarly journals Development of the Organized Securities Market in Uzbekistan

2021 ◽  
Vol 7 (3) ◽  
pp. 236-242
Author(s):  
A. Ibodullaev
Keyword(s):  
Stock Market ◽  
Securities Market ◽  
Development Trends ◽  
Existing Problems ◽  
Factors Influencing ◽  
Main Factors ◽  
Total Stock ◽  
Better Than

The development trends of the organized securities market in Uzbekistan, the main factors influencing the development of the organized market, as well as the trend of joint-stock companies, their issue, existing problems and ways of solving them are described. Based on the data, it can be said that the unorganized securities market in the country is developing better than the organized securities market. The size of the organized stock market does not match the expected share of the total stock market. This, in turn, requires a radical development of this market.

scholarly journals Geometric Case Based Reasoning for Stock Market Prediction

2020 ◽  
Vol 12 (17) ◽  
pp. 7124
Author(s):  
Se-Hak Chun ◽  
Young-Woong Ko
Keyword(s):  
Stock Market ◽  
Nearest Neighbors ◽  
Percentage Error ◽  
Case Based Reasoning ◽  
Stock Market Index ◽  
Distance Method ◽  
Market Index ◽  
Shape Distance ◽  
Case Based ◽  
Better Than

Case based reasoning is a knowledge discovery technique that uses similar past problems to solve current new problems. It has been applied to many tasks, including the prediction of temporal variables as well as learning techniques such as neural networks, genetic algorithms, decision trees, etc. This paper presents a geometric criterion for selecting similar cases that serve as an exemplar for the target. The proposed technique, called geometric Case Based Reasoning, uses a shape distance method that uses the number of sign changes of features for the target case, especially when extracting nearest neighbors. Thus, this method overcomes the limitation of conventional case-based reasoning in that it uses Euclidean distance and does not consider how nearest neighbors are similar to the target case in terms of changes between previous and current features in a time series. These concepts are investigated against the backdrop of a practical application involving the prediction of a stock market index. The results show that the proposed technique is significantly better than the random walk model at p < 0.01. However, it was not significantly better than the conventional CBR model in the hit rate measure and did not surpass the conventional CBR in the mean absolute percentage error.

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