Titlebook: Regulation of Finance and Accounting; 21st and 22nd Virtua David Procházka Conference proceedings 2022 The Editor(s) (if applicable) and Th

notion

Does IFRS 9 Increase Volatility of Loan Loss Provisions?,nder the previous standard IAS 39, empirically tested on a sample of eight largest Czech banks according to their balance sheet volume. The hypothesis that the implementation of IFRS 9 causes increased volatility of loan loss provisions is confirmed in the case of five banks and within the whole sample of banks at a 5% probability level.

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,The Income Velocity of Money – Determinants (Case of the Czech Republic),money is needed to create a given production. The aim of this chapter is to elaborate on the factors that are behind the money velocity. An overview of the potential determinants of money velocity will be presented together with a brief description of the determinants. Where available, data relevant

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Causes of Limitations of GDP Per Capita as an Indicator of Economic Development, well-being and estimates the factors which diminish its ability to represent the level of life. Firstly, we theoretically outline the factors that might be undermining GDP per capita’s ability to serve as a measurement of well-being and debate other development indicators. Subsequently, we confront

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Inter-Market Sentiment Analysis Using Markov Switching Bayesian VAR Analysis,xies for market sentiment for the period from March 2010 to March 2017. The Markov switching Bayesian vector autoregressive (MS–BVAR) method is applied to measure the interdependency of the lags of these volatility indexes. The empirical results show three unidirectional causal relationships, lag de

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