This study addresses the economic rationale behind algorithmic trading in the Electric Vehicle (EV) sector, enhancing the interpretability of Q-learning agents. By integrating EV-specific data, such as Tesla's stock fundamentals and key supply chain players such as Albemarle and Panasonic...

This paper formulates and solves an economic decision problem of the acquisition of costly information in data-driven decision making. The paper assumes an agent predicting a random variable utilizing several costly explanatory variables. Prior to the decision making, the agent learns about the...

This article questions the slope homogeneity in a gravity equation and proposes a partially heterogeneous framework for its estimation using panel data. We suggest to employ K-mean clustering to group countries according to the gravity equation variables. Further, the gravity model is estimated...

The paper contributes to the rare literature modeling term structure of crude oil markets. We explain term structure of crude oil prices using dynamic Nelson-Siegel model, and propose to forecast them with the generalized regression framework based on neural networks. The newly proposed...

In this article we evaluate the pricing performance of the rather simple but revolutionary Black-Scholes model and one of the more complex techniques (neural networks) on the European-style S&P Index call and put options over the period of 1.6.2006 till 8.6.2007. Our results on call options show...

We survey the empirical evidence on corporate survival and its determinants in European emerging markets. We demonstrate that (i) institutional quality is a significant preventive factor for firm survival in all sectors of the economy, which holds for small, medium and large firms alike. On the...

The 2008/2009 global crisis highlighted the vulnerabilities and inter-dependencies in the financial system including the global over-the-counter (OTC) derivatives markets, where significant counterparty credit risk prevails. In this paper, we deal with risk under Basel III banking regulation and...

Credit risk assessment is a crucial part of macroprudential analysis, with the aggregate nonperforming loan (NPL) ratio serving as a proxy for the economy-wide probability of default of the banking sector's overall loan exposure. Therefore, the factors driving the NPL ratio deserve a lot of...

This paper studies the economic impact of the current global economic downturn on the household sector. Household budgets can be negatively affected by declines in nominal wages and increases in unemployment. We empirically test this effect for the small open emerging economy. As a result of a...

The importance of assessing financial stability in emerging Europe has increased rapidly since the recent financial crisis. Against this background, in the present paper we contribute to the existing literature in a twofold way: First, by using a broad range of indicators from money, bond,...