Internal Lunch Seminars

Long-range dependence and option pricing

Abstract: Stochastic processes based on standard Brownian motions can't address an established "stylized fact" in finance: the long-range dependence or memory effect. This issue has stimulated the inclusion of alternative diffusion mechanisms in the price modeling, namely fractional Brownian motion and its relatives. Here, we will revisit the application of fractional-based diffusions for option pricing purposes and its relation with the efficient market hypothesis. Moreover, we will address some further extensions based on multifractional Brownian motions and their capabilities to mimic some financial features, proposing new results around them.

The seminar will be streamed online on MS Teams.

On the long-term intramarket dynamics of market efficiency

The seminar will be streamed online on MS Teams.

Abstract: In this paper, I investigate the long-term dynamics of informational market efficiency between portfolios of different levels of market capitalisation. The convergence in market efficiency between portfolios, represented by different S&P and FTSE indices, can be observed in time. However, the convergence was mostly completed by 2006. An asymmetrical response to shock is observed between portfolios. Lower capitalised portfolios were more negatively affected by them. A positive relationship between market efficiency and market capitalisation was observed for all indices, however, the market efficiency of S&P 500 was lower than that of S&P 400 and S&P 600 from 2006 onward.

Russia’s Ruble during the onset of the Russo - Ukrainian war: The role of Implied volatility and Attention

The seminar will be streamed online on MS Teams.

Abstract: This paper aims to verify if the price fluctuation of the Ruble during the onset of the Russo-Ukrainian crisis was predictable, as indicated via implied volatility and investor's (general population's) attention. It uses high-frequency attention, implied volatility, and price data and provides evidence that both attention and implied volatility are relevant for predicting price fluctuations in the short run.

Ukrainian refugees and labour market discrimination (research proposal)

The role of investor attention in global assets price variation during the war in Ukraine

The seminar will be streamed online on MS Teams: Link

Abstract: In this proposal, we aim to briefly present several hypotheses of our recent research interest, which stems from an ongoing military conflict between Russia and Ukraine. The impact the conflict has on assets price variation cannot be doubted, and the information availability may play an integral part in assets high price variation as it did in no conflict before. Thus, we want to explore the magnitude of attention through google search queries and whether attention to the conflict may lead to higher asset price variation in global equity markets. We are also interested in the influence regarding asset prices and the proximity to the conflict. Current preliminary results suggest that the attention towards the conflict is significant in the after-invasion period and helps predict volatility.

Forecasting Day-ahead Expected Shortfall on the EUR/USD Exchange Rate: The (I)relevance of Implied Volatility

The seminar will be streamed online on MS Teams: Link

Abstract: The existing literature provides mixed results on the usefulness of implied volatility for managing risky assets, while evidence with respect to expected shortfall predictions is almost nonexistent. Given its forward-looking nature, implied volatility might be more useful than backward-looking measures of realized price fluctuations. On the other hand, the volatility risk premium embedded in implied volatility leads to overestimation of the observed price variation. This paper explores the benefits of augmenting econometric models used in forecasting the expected shortfall, a risk measured endorsed in the Basel III Accord, with information on implied volatility obtained from EUR/USD option contracts. The day-ahead forecasts are obtained with a two-step procedure, where the estimates of value-at-risk for several quantiles are combined to approximate the predicted expected shortfall. We consider several classes of econometric models: historical simulation, GARCH, quantile regression--based HAR and combination forecasts. Using formal statistical tests, we verify whether the resulting expected shortfall forecasts are well behaved and test the models' accuracy. Our results provide evidence that the information provided by forward-looking implied volatility is more useful than that in backward-looking realized measures. These results hold across multiple model specifications, are stable over time, hold under alternative loss functions and are more pronounced during periods of higher market uncertainty, when managing asset risk matters most.

Economic institutions and their role in the economic transformation (research proposal)

Institutional economy understands the institutions to be factors of economic growth. It also understands the inclination towards entrepreneurship as and institution. This creates a room for analysing the entrepreneurial contribution to economic growth. The idea is to study the connections between people's behaviour in terms of their desire to run a business, and the performance of the economy.

Using pubic opinion polls, I aim to define and quantify an entrepreneur as an institution, add the institution into a neoclassic growth model, and explore what role the entrepreneurs have in the Czech Republic and Austria. These two countries are similar in size and culture, however, one has a 40 years long experience with the entrepreneurial activity being forbidden. The study can therefore show another dimension of what needs to be changed in order to transform an economy.

MS Teams

Economic inequality and anti-system parties (research proposal)

Rising economic inequality has been a long-lasting trend across the world for the last few decades.  At the same time, we can observe the rise of extremist and populist political parties in many countries, including established democracies. Is it possible to identify a causal link between these phenomena? The coronavirus disease and consequent lockdown restrictions created a natural experiment that give us an opportunity to explore this link.

Many areas of the economy were affected heavily, meanwhile, others experienced only minor problems which resulted in heterogeneous development of economic inequality. In my research, I intend to use this heterogeneous impact of the pandemic and explore the voting behaviour and support for anti-system parties across regions of the Czech Republic.

MS Teams

Judging by the Colour of their Skin - Own-Race Bias among Judges in Professional Boxing

This paper reports the results of a study that examined racial biases among judges evaluating professional boxers during bouts in the U.S. Data were collected for 184 mixed-race bouts and contained extensive information on boxers and judges. The results showed that white boxers were more likely to receive top scores from white judges than from non-white judges, all else equal. The results also showed that white boxers were more likely to win a bout when the crew of judges was all white than when the crew was racially diverse. We attribute our findings to white own-race bias.

Website

The Impact of the COVID-19 Pandemic on Reducing Digital Financial Exclusion in Poland and the Czech Republic

The technological development that has occurred in the last two decades has resulted in the transfer of many activities to the digital space. Currently, access to the Internet and the use of digital services by consumers are not only facilitating but also a condition for full participation in social, cultural and professional life. Digitization is therefore extremely important in the context of social exclusion and its financial component. Research conducted around the world (Bayero, 2015; EFInA, 2013; Ouma, Odongo, & Were, 2017) indicates the enormous role played by the development and dissemination of mobile payments in reducing the scale of financial exclusion, especially in underdeveloped and developing countries. On the other hand, however, increasing digitization and concerns about using digital services or the inability to use them may contribute to financial exclusion in developed countries. The use of modern technologies may limit access to financial services and thus reduce the scale of financial inclusion (Martinez, 2013; Reddy, 2017). In this paper, I use survey data to identify factors influencing the digital financial inclusion of consumers.

MS Teams