Modeling asymmetric volatility of financial assets using univariate GARCH models: An Indian perspective

Various mechanisms for implementation, and at the same time contradictory approaches to the essence, evaluation, reflection, and regulation, led to the need to consider and improve approaches to the recognition of cryptocurrency.

Based on the critical analysis of the legal provisions in Ukraine and the approaches of scientific experts, practitioners and international experience, the economic essence of cryptocurrency is substantiated. The legal, economic and accounting aspects of cryptocurrency recognition in developed and transformational economies are revealed. In order to meet the information needs of users, the peculiarities of the application of methods for estimating cryptocurrency commodities and the influence of the chosen method on the reflection of such an asset in the financial statements have been identified. The necessity to clarify and harmonize existing national accounting standards for recognizing and reporting on cryptocurrency transactions has been identified.

The proposed approach to the identification and recognition of cryptocurrency goods will improve the relations between the owners of cryptocurrency and the state, legalize cryptocurrency transactions and form an effective system for managing such transactions in Ukraine.

This study is aimed at investigating the volatility dynamics and the risk-return relationship in the South African market, analyzing the FTSE/JSE All Share Index returns for an updated sample period of 2009–2019. The study employed several GARCH type models with different probability distributions governing the model’s innovations. Results have revealed strong persistent levels of volatility and a positive risk-return relationship in the South African market. Given the elaborate use of the GARCH approach of risk estimation in the existing finance literature, this study highlighted several weaknesses of the model. A noteworthy property of the GARCH approach was that the innovation distributions did not affect parameter estimation. Analyzing the GARCH type models, this theory was supported by the majority of the GARCH test results with respect to the volatility dynamics. On the contrary, it was strongly unsupported by the risk-return relationship. More specifically, it was found that while the innovations of the EGARCH (1, 1) model could account for the volatile nature of financial data, asymmetry remained uncaptured. As a result, misestimating of risks occurred, which could lead to inaccurate results. This study highlighted the significance of the innovation distribution of choice and recommended the exploration of different nonnormal innovation distributions to aid with capturing the asymmetry.

Global financial transformations provoke shifts in financial systems that can threaten countries’ economic security. Further integration of the CEE states to the global economy will be accompanied by the increasing dependence of their financial markets and economic security on global financial challenges. The study aims to identify the relationship between global and regional financial trends that shape CEE countries’ economic security and reveal the shifts in the CEE region’s economic security under the influence of global financial transformation. The global financial transformations are the object of the study. Comparative analysis of the dynamics of financial transformations in the world and the CEE countries is made using structural analysis and methods of economic and mathematical modeling of trends. Given the heterogeneity of the CEE states’ financial development, global financial transformations have different manifestations in these countries. The relationship between global and regional indicators of financial transformation proved to be ambiguous. The regional dynamics of stock market capitalization, debt securities, and external debt fit corresponding world indicators’ dynamics. The indicators of global and regional official reserves and bank assets are moving in different directions. The region’s economic security challenges are great volatility of stock market capitalization, growth of external debt burden, and uneven distribution of official reserves. The obtained results should be considered when identifying financial threats affecting the CEE countries’ security and developing relevant policies for shaping the region’s efficient financial system.