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Asset prices and macroeconomics: towards a unified macro-finance framework
Maršál, Aleš ; Horváth, Roman (advisor) ; Holub, Tomáš (referee) ; Kónya, István (referee) ; Pástor, Luboš (referee)
Asset prices and macroeconomics: towards a unified macro-finance framework Aleš Maršál March 30, 2020 Abstract The dissertation consists of three papers focused on fiscal policy and explaining what determines the dynamics of cross-sectional distribution of bond prices. The connecting factor of the thesis is however not just its main theme but also the used methodology. The valuation of bonds and effects of studied policies are endogenous outcome of the full-fledged macro-finance dynamic stochastic general equilibrium model. The first chapter provides broader context and non-technical summary of the three papers in following chapters. The first paper studies the role of trend inflation in bond pricing. Motivated by recent empirical findings that emphasize low-frequency movements in inflation as a key determinant of term structure, we introduce trend inflation into the workhorse macro-finance model. We show that this compromises the earlier model success and delivers implausible busi- ness cycle and bond price dynamics. We document that this result applies more generally to non-linearly solved models with Calvo pricing and trend inflation and is driven by the behavior of price dispersion, which is i) counterfactually high and ii) highly inaccurately approximated. We highlight the channels be- hind the undesired performance...
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Are realized moments useful for stock market returns analysis?
Saktor, Ira ; Baruník, Jozef (advisor) ; Kočenda, Evžen (referee)
This thesis analyzes the use of realized moments in asset pricing. The analysis is done using dataset containing log-returns for 29 of the most traded stocks and covering 10 years of data. The dataset is split into training set covering 7 years and test set covering 3 years of data. For each of the stocks a separate time series model is estimated. In evaluation of the quality of the models, metrics such as RMSE, MAD, accuracy in forecasting the sign of future returns, and returns achievable by executing trades based on the recommendations from the model are used. Even though the inclusion of realized moments does not provide significant improvements in terms of RMSE, it is found that realized skewness and kurtosis significantly contribute to explaining the returns of individual stocks as they lead to consistent improvements in identifying future positive, as well as negative, returns. Moreover, the recommendations from the models using realized moments can help us achieve significantly higher returns from trading stocks. Inclusion of the interaction terms for variance and returns, skewness and returns, and kurtosis and variance, provides additional improvement of forecasting accuracy, as well as improvements in returns achievable by executing transactions based on recommendations from the model....
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Fama-French Model: Multiscale Portfolio Analysis
Spousta, Radek ; Kraicová, Lucie (advisor) ; Teplý, Petr (referee)
This thesis studies the empirical relationship between excess asset returns and the Fama−French risk factors at various scales using a combination of the Fama−French model and wavelet-based methods. We re-examine previously published results obtained for six portfolios formed on size and book-to-market ratio in the U.S. market, and focus on the influence of different scales on the original results. We conclude that the most the total variance of the risk factors and excess portfolio returns is concentrated at scale 1 and 2, which corresponds to periodicities of 2-4 months and 4-8 months, respectively. Next, we observe significant variation in estimated parameters across different scales. Furthermore, some of the Fama−French risk factors are strongly correlated at scale 2, 3 and 4, which is unobservable in standard correlation matrix. Overall, the multiscale approach seems beneficial for analysis of the Fama−French three-factor model as it reveals information that remains hidden to traditional methods.
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The Impact of Mergers and Acquisition Activity on the Time Series Variation in the Stock Size Premium
Kaplan, Robert ; Novák, Jiří (advisor) ; Geršl, Adam (referee)
This work studies whether intertemporal variation in future takeover activity explains intertemporal changes in stock size premium. Taking into account that takeover activity involves 2-9% of firms every year and building upon existing research stating that small firms are more likely takeover targets, receive 40% higher takeover premium than large firms, we argue that small firms benefit from high takeover activity more than large firms and size premium should be more pronounced in the time of high takeover activity. We study takeover activity as well as stock size premium on aggregate level and test whether size premium can be explained by the expected takeover activity, i.e. its change compared to past. We find that change in takeover activity in the next six months versus last six months is positively correlated with size premium. Additionally, we construct a simple predictive model for estimating future takeover activity. The relation between size premium and change in takeover activity remains significant when we use forecasted values given by the predictive model instead of true future values in the model.
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Bias and Accuracy in Equity Research: The Case of CFA Challenge
Hloušek, Pavel ; Novák, Jiří (advisor) ; Máková, Barbora (referee)
This thesis analyses drivers of optimistic bias in equity research and substance of ability in explaining differences in accuracy among equity analysts. I have shown the existence of a relevant reason for optimistic bias in equity research, which is not related to conflict of interest - the usually referred driver of the bias. Then I have supported the stream of literature showing that analyst's ability is not a strong determinant of analyst's accuracy. A new perspective on the topics is offered by using a sample of equity reports from valuation competition CFA Research Challenge. Contribution of the thesis lies (i) in working with a sample of analysts who do not face the conflicts of interest proposed by the literature to be causing optimistic bias, which offers a unique opportunity to test whether such conflict-of- interest-free analysts issue biased recommendations and in (ii) using success in CFA Challenge as a new proxy for ability of equity analysts. The methods used are an analysis of bias and accuracy of target prices, hit-ratio of investment recommendations, and analysis of returns - estimated by CAPM, Fama French three-factor model and Carhart four-factor model.
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Efficient market hypothesis in the modern era
Vlček, Šimon ; Krištoufek, Ladislav (advisor) ; Korbel, Václav (referee)
Efficient Market Hypothesis (EMH) has been the central assumption of financial modelling in the previous decades. At its core, it is a statement about the efficient incorporation of available information in the prices of assets, rendering each price a 'true' representation of the asset's intrinsic value. The notion of informationally efficient financial markets has been, since its formulation, entrenched in the very core of our understanding of how asset pricing works, yet, with ever so increasing frequency, when subjected to empirical scrutiny, it fails to prove its explanatory and predictive prowess. New academic strands emerged have emerged as a result, attempting to explain those empirical short-comings, with rather mixed results. The new models and theories often either explain a singular anomaly, rather than pro- viding a generalized and consistent theoretical framework, or are exclusive with the general state of financial markets, which tends to be efficient and rational. This thesis shall explore the relationship of information and financial mar- kets, taking into account developments that have occurred since the inception of the EMH. Subsequently it will present a new theoretical model for asset pric- ing and ipso facto the efficiency of financial markets, based on meta-analysis of information, along...
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Debt Contracts and Stochastic Default Barrier
Dózsa, Martin ; Janda, Karel (advisor) ; Krištoufek, Ladislav (referee)
This thesis focuses on the theory of asset pricing models and their usage in the design of credit contracts. We describe the evolution of structural models start- ing from the basic Mertonian framework through the introduction of a default barrier, and ending with stochastic interest rate environment. Further, with the use of game theory analysis, the parameters of an optimal capital struc- ture and safety covenants are examined. To the author's best knowledge, the first EBIT-based structural model is built up that considers stochastic default barrier. This set-up is able to catch the different optimal capital structures in various business cycle periods, as well as bankruptcy decisions dependent on the state of the economy. The effects of an exogenous change in the risk-free interest rate on the asset value, probability of default, and optimal debt ratio are also explained. JEL Classification C73, G12, G32, G33 Keywords credit contracts, stochastic default barrier, asset pricing, EBIT-based models, struc- tural models Author's e-mail martin@dozsa.cz Supervisor's e-mail Karel-Janda@seznam.cz Abstrakt Tato práce se zabývá teoretickými modely pro oceňování finančních aktiv a je- jich použitím při návrhu optimálních úvěrových smluv mezi dlužníky a věřiteli. V první části je popsán...
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The dynamics of value comovement across global equity markets
Gupta, M. ; Novotný, Jan
The ratio between share price and current earnings per share, the Price Earning (PE) ratio, is widely considered to be an effective gauge of under/overvaluation of a corporation’s stock. Arguably, a more reliable indicator, the Cyclically-Adjusted Price Earning ratio or CAPE, can be obtained by replacing current earnings with a measure of permanent earnings i.e. the profits that a corporation is able to earn, on average, over the medium to long run. In this study, we aim to understand the cross-sectional aspects of the dynamics of the valuation metrics across global stock markets including both developed and emerging markets. We use a time varying DCC model to exploit the dynamics in correlations, by introducing the notion of value spread between CAPE and the respective Market Index from 2002 to 2014 for 34 countries. Value spread is statistically significant during the 2008 crisis for asset allocation. The signal can be utilized for better asset allocation as it allows one to interpret the common movements in the stock market for under/overvaluation trends. These estimates clearly indicate periods of misvaluation in our sample. Furthermore, our simulations suggest that the model can provide early warning signs for asset mispricing in real time on a global scale and formation of asset bubbles.
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Dynamics of consumption and dividends over the business cycle
Pidkuyko, Myroslav
We examine a trivariate time series model that is subject to a regime switch, where the shifts are governed by an unobserved, two-state variable that follows a Markov process. The analysis is performed in a Bayesian framework developed by Albert and Chib (1993), where the unobserved states are treated as missing data and then analyzed via Gibbs sampling. This approach generates the posterior conditional distribution of all the parameters given the hidden states, and the posterior conditional distribution of the states given the parameters. This allows us to obtain the estimated values of all the parameters of interest.
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