National Repository of Grey Literature 244 records found  1 - 10nextend  jump to record: Search took 0.00 seconds. 
Female Leadership and Financial Performance: A Meta-Analysis
Gömöryová, Katarína ; Havránková, Zuzana (advisor) ; Novák, Jiří (referee)
Is female leadership the secret ingredient to financial prosperity? This question has been the subject of extensive research, yet the findings remain inconclusive. We aim to provide a comprehensive understanding of this relationship employ- ing contemporary techniques on the up-to-date dataset comprising 1,131 esti- mates gathered from 96 distinct studies. We clarify the theoretical underpin- nings and methodological challenges in estimating this effect. Then we address the pervasive issue of publication bias resulting in the mild preference for pos- itive outcomes. After filtering out this bias, the study finds a negligible mean effect estimate, suggesting that the impact of women in leadership on financial performance is minimal. We further explore the potential factors that could account for variations in the estimated effects across different studies. Utilising Bayesian Model Averaging, weighted by the inverse number of estimates, we identify thirteen significant moderators that influence the relationship under study. Among these, the proportion of female authors, the impact factor of the journal, the duality of the CEO role, and the tenure of leaders are found to exert the most positive influence on the effect. Conversely, the age of leaders pushes effect the most in the opposite direction....
Artificial intelligence in Behavioral Finance
Niyazli, Toghrul ; Ismayilov, Ilgar (advisor) ; Novák, Jiří (referee)
Since the bubble burst in 2001, financial markets have been plagued by extreme volatility caused by investors emotions and irrational behaviors. Since the financial market has become more complex and tech oriented, stock market sentiment has been a key determinant of large market movements. In this context, it is worth to look into the role of emotions such as fear, greed, and excitement in influencing investment decisions. In addition, newly developed artificial intelligence techniques can be utilized to record and collect data from online sources to conclude collective irrational human behaviors. Behavioral finance is a newly developed discipline that examines the impact of psychological elements on decision-making processes when individuals encounter uncertain situations. This thesis aims to analyze the influence of behavioral finance phenomena including Herding, Anchoring, and Overconfidence biases on the investment decision-making practices within the context of the United States stock market. One of the study goals is to investigate whether sentiment of public, can be a rational tool impacting on investors' decision- making process or not. The investigation is prompted by the potential of Artificial Intelligence and Machine Learning to accurately analyze vast amounts of data and make...
Is ESG a resiliency factor for company stock returns during a crisis? Evidence from Europe during the covid-19 pandemic
Krameš, David ; Novák, Jiří (advisor) ; Kurka, Josef (referee)
The goal of this thesis was to examine whether high ESG performance serves as a resiliency factor for company stock returns during times of crisis. Using a DID estimator for 3 different regions and treatment timings, I find that high ESG performance did serve as a resiliency factor for company stock returns in the short term during the covid-19 pandemic, with high-ESG firms having 1.125-4.785% higher stock excess log returns compared to low-ESG firms over a 15 day period. This is probably a result of their lower perceived riskiness. I also find this effect is primarily driven by the S pillar and for European companies, by firms belonging to the Financial and Healthcare industries. In the long term, I find that the effect reverses and ESG becomes a negative factor, which I believe is caused by investors starting to seek riskier investments again. Finally, for European and American firms, I find the effect of a high score in the G pillar is negative even in normal times.
Visualization and simulation methods of Solar System bodies
Hýroš, Andrej ; Hanák, Jiří (referee) ; Novák, Jiří (advisor)
Táto práca sa zaoberá vývojom programu na simuláciu a vizualizáciu pohybu n telies podľa Newtonových zákonov. Vstupom je zoznam telies a ich počiatočné podmienky. Po dokončení simulácie je vzájomný pohyb telies celého systému animovaný v programe s grafickým užívateľským rozhraním a je uložený súbor s priebehom simulácie. Počas simulácie sú riešené diferenciálne rovnice prvého rádu. V práci boli implementované viaceré algoritmy numerickej integrácie, ktoré umožňujú používateľovi zvoliť si vhodný algoritmus pre potreby jeho simulácie a dosiahnuť tak optimálny priebeh simulácie. Program bol prehlásený ako validný po porovnaní výstupu programu s dátami od NASA.
Low Earth orbit trajectory prediction using a machine learning approach
Janda, Přemek ; Vlk, Jan (referee) ; Novák, Jiří (advisor)
Přesné orbitální predikce orbit satelitů na nízé oběžné dráze Země jsou nezbytné pro každodení provádění operací, tak aby se předešlo jejich srážkám. Tato práce se zaměřuje na analýzu histrorických dat trajektorií, tvořených z klacických dráhových elementů. S využitím strojového učení, data jsou sdružena, zpracována a na závěr užita pro predikci dráhy orbity. Nejlepších výsledků předpovědí bylo dosaženo s neuronovou sítí s doulodobou a krátkodobou pamětí (LSTM).
Deferred tax as a measurement of earnings management
Mišoň, Matěj ; Novák, Jiří (advisor) ; Hronec, Martin (referee) ; Pečená, Magda (referee)
This thesis investigates relationships between deferred taxes and possible earnings management in publicly traded companies on London Stock Exchange in FTSE 350 in the last several years. It also discusses other possibilities of earnings management, mostly by accruals. It builds on a model introduced by (Phillips J. D., Pincus, Rego, & Wan, 2004), which is a "probit" econometric maximum-likelihood estimation model. The results suggest there might be no relation of net deferred tax liabilities on earnings management to avoid a decline in earnings, and possibly some relation, although inconclusive, of deferred tax expense on earnings management.
Corporate governance and M&A effectiveness
Akmatalieva, Chinara ; Gregor, Martin (advisor) ; Novák, Jiří (referee)
This master thesis analyzes the transactions of merger and acquisition for three European countries as Germany, Netherlands and Austria with developed economies and how they are affected by corporate governance in the companies. In order to address, it collects 41 deals from 426 chosen transactions from the 1st of January 2010 to 31st of December 2019. Using method of event study with data from stock market it was examined the cumulative abnormal return on the shares of the acquiring company. Based on the results of the study, the optimum number of directors on the board, the board independence ratio and the length of the CEO's tenure have a positive relation to the effectiveness of mergers and acquisitions at the current level of corporate governance. In addition, guided by this research, it is possible to improve the mechanism of corporate governance in order to increase efficiency of mergers and acquisitions in Europe. Furthermore, an empirical model with cumulative abnormal return calculation tend to explain the impact of board structure, the number of independent members and the tenure of chief executive officer on mergers and acquisitions performance. JEL Classification C8, G3, G30, G34, M20 Keywords corporate governance, mergers and acquisitions, event study, agency theory, board of...
The Impact of a Firm's Profitability and Other Factors on Capital Structure: Evidence from the Czech Republic
Holušová, Lucie ; Pavlíček, Jaroslav (advisor) ; Novák, Jiří (referee)
1 Abstract The aim of this thesis is to provide empirical evidence on determinants of the capital structure of Czech SMEs. Dataset used is different from previous ones in the studied period, characteristics and number of observations. The financials of 2693 companies over 14 years are addressed using panel data estimation methods. This thesis tests the hypotheses addressing the effect of the determinants based on the main theories in the field (pecking order and trade-off theory) and whether the crisis had an impact on the capital structure. Three measures of debt ratios (total, short-term and long-term debt ratio) are included to capture how either of the ten independent variables affects the maturity structure. Regression results of several estimation approaches (FE, RE, Pooled OLS, Difference GMM, System GMM) are provided and after several validity tests inferences based on System GMM estimation are presented. Results report significant differences in estimates of long-term and short-term or total debt ratio models. The most surprising result is that size and crisis are not statistically significant in any model, contrary age, profitability, liquidity, tangibility and growth are significant at least concerning total and short-term debt ratios. Finally, the pecking order theory prevails in the dataset....
Mispricing in leveraged value small-capitalization stocks
Picálek, Jan ; Hronec, Martin (advisor) ; Novák, Jiří (referee)
We study returns in the universe of leveraged value small-capitalization stocks, a universe with historically significant exposure to common risk factors. We sep- arate future winners and losers within this universe of risky stocks by adopting machine-learning-based mispricing strategy. The strategy considers 34 stock- level characteristics to predict 1-month-ahead returns and construct a long- short portfolio accordingly. The portfolio yields abnormal risk-adjusted re- turns of 0.42% per month out-of-sample, uncovering statistically significant mispricing. The machine-learning algorithm is trained on leveraged value small- capitalization stocks, so it captures universe-specific nonlinearities and variable interactions. The nonlinear effects and predictive power of individual variables are extracted and presented as well. We found no evidence of a relationship between the magnitude of the mispricing and credit cycles, or market volatility. JEL Classification G11, G12, G14, Keywords Anomalies, Predictability of returns, Asset pricing tests, Leveraged equities, Value stocks Title Mispricing in leveraged value small-capitalization stocks
Game for Oculus Quest
Kryštůfek, Jakub ; Novák, Jiří (referee) ; Pomikálek, Jiří (advisor)
The aim of this bachelor thesis is to create a prototype of a videogame in virtual reality for target platform Oculus Quest 2. The game was created with game engine Unity with emphasis on optimalization and extensibility of implemented systems. Within the implemented game was created system of autonomous agents via finite state machines and planning architecture goal-oriented action planning. One of the most insteresting game mechanics is fire propagation system implemented with cellular automaton.

National Repository of Grey Literature : 244 records found   1 - 10nextend  jump to record:
See also: similar author names
59 NOVÁK, Jakub
94 NOVÁK, Jan
9 NOVÁK, Jaromír
23 NOVÁK, Jaroslav
9 NOVÁK, Jindřich
94 NOVÁK, Jiří
46 NOVÁK, Josef
94 Novak, Jan
46 Novak, Josef
2 Novák, J.
59 Novák, Jakub
1 Novák, Jakub Štěpán
94 Novák, Jan
9 Novák, Jaromír
23 Novák, Jaroslav
9 Novák, Jindřich
39 Novák, Jiří Karel
2 Novák, Jiří,
46 Novák, Josef
94 Novák, Ján
94 Novák, Jíří
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