Quasi-hedge funds market in Poland in view of their performance persistence

The world finds itself facing unprecedented conditions as the global pandemic of the COVID-19 virus has led to fundamental changes in the global supply chains. This paper aims to assess the initial response undertaken by Central European companies in the early stages of the outbreak. The survey was conducted as a research method to collect data from a large number of companies. Since it takes time to assess long-term effects of the pandemic and related measures, various changes in supply chains are examined as the early results of the COVID-19 crisis and measures implemented by companies. The study examines how different economy sectors were changed due to this situation. The changes in operating volumes were identified as the most commonly used measures to accommodate new market developments. However, developing the new supply chain partnership was the most successful measure. This measure correlates with an increase in revenues and an increase in the number of customers. In some cases, disruptions in supply chains had positive effects on revenues as a reaction to the COVID-19 epidemic outbreak. Cross-country examinations found that all Polish companies implemented at least one new measure to tackle this crisis. Nearly 20% of Slovak companies and nearly 30% of Czech companies made no changes in their operations during the early stages of the crisis. However, overall, the supply chains in Central European countries turned out to be quite resilient, since most companies managed to survive the supply chain disruptions and in some cases even show signs of overcoming them completely.

Acknowledgement
This contribution was supported by the project No. 1/0757/18, “Consumer behavior in buying goods of daily consumption with an emphasis placed different contents of goods offered on markets of selected EU countries”.

The government bond (GB) has become the most attractive investment portfolio option, even though many macroeconomic factors affect the bond yield. This paper aims to investigate the determining factor of local currency government bond yield by considering the inflation rate, credit default swap, stock market index, exchange rate, and volatility index. This study used 240 data panel from the Bloomberg stock market in the form of data panel covering Southeast developing countries, namely Indonesia, Thailand, Malaysia, and the Philippines, for five years or sixty months from January 2015 to December 2019. Data analysis used recursive models and multivariate regression techniques using EViews software. The random effect model results revealed that change in the foreign exchange rate and volatility indexes affected, partially and simultaneously, the changes in the stock market index. The result also showed that changes in the stock market index, inflation rate, and credit default swap affected, partially and simultaneously, government bond yield changes. These results suggest that the government bond yield could be managed by controlling volatility index, foreign exchange rate, stock market index, inflation rates, and credit default swaps. This finding could provide an insight into the policymaker and fiscal authority on managing the risk of government bonds under control during high volatility or even making it reasonably lower. This result could contribute to the current research in the field of financial management.

Acknowledgment
It is the author’s pleasure to thank Muhammad Aulia SE MSc CSA® from the Ministry of Finance of Republic Indonesia, for his invaluable contribution to encourage this study and also to share the data required for this paper. He also delivers essential insights into improving the quality of this work. This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

The stock market represents complex systems where multiple agents interact. The complexity of the environment in the financial markets in general has encouraged the use of modeling by multi-agent platforms and particularly in the case of the stock market.
In this paper, an agent-based simulation model is proposed to study the behavior of the volume of market transactions. The model is based on the case of a single asset and three types of investor agents. Each investor can be a zero intelligent trader, fundamentalist trader or traders using historical information in the decision making process. The goal of the study is to simulate the behavior of a stock market according to the different considered endogenous and exogenous variables.