|
|
How Can the Czech National Bank Eliminate the Zero Lower Bound on Interest Rates? A Case Study
Katinová, Alexandra ; Havránek, Tomáš (advisor) ; Kolcunová, Dominika (referee)
The thesis provides case study research on the feasibility of the negative in- terest rate policy in the context of the Czech Republic. No major obstacles opposing the policy itself were found in the bases of the Czech legal system, however, a list of acts explicitly affected by the value of policy rates needs to be adjusted to prevent misinterpretations. Moreover, it was identified that tax prepayments held by the Tax Authority and free reserves kept at the Czech National Bank at zero interest rate create room for escaping from the policy. Additionally, debt repayments in cash and interest-free accounts of government and public institutions administrated by the Czech National Bank could lead to undesirable advantages. A complementary VAR model analysis of the interest rate transmission under negative policy rates was performed to evaluate quan- titatively the experience from European countries, however, short data series available provided merely indicative results.
|
|
|
Financial Stress in the Czech and Slovak Republic: Measurement and Effects on the Real Economy
Malega, Ján ; Horváth, Roman (advisor) ; Cingl, Lubomír (referee)
In the scope of this thesis, we estimate a financial stress index particularly for the Czech Republic with application for Slovakia, and examine its development during the period 2002-2014. The advantage of the index is primarily its ability to measure the current level of stress in the financial system incorporating information from various sectors of the economy and expressing it in a single-value statistic. We find a marked increase in financial stress at the beginning of the global financial crisis and European sovereign debt crisis with a decrease to nearly pre-crisis levels by the end of our study period. Next, we estimate vector autoregression models and find out that financial stress has systematic effects on unemployment, prices and interest rates, with the maximum response occurring approximately one to two years after the shock in the Czech Republic, and with a half-year delay in Slovakia. Specifically, an increase in financial stress is associated with higher unemployment, lower prices and lower interest rates, indicating its detrimental effects on the real economy. JEL Classification G17, G32 Keywords financial stress index, vector autoregression, impulse responses
|
|
|
How Can the Czech National Bank Eliminate the Zero Lower Bound on Interest Rates? A Case Study
Katinová, Alexandra ; Havránek, Tomáš (advisor) ; Kolcunová, Dominika (referee)
The thesis provides case study research on the feasibility of the negative in- terest rate policy in the context of the Czech Republic. No major obstacles opposing the policy itself were found in the bases of the Czech legal system, however, a list of acts explicitly affected by the value of policy rates needs to be adjusted to prevent misinterpretations. Moreover, it was identified that tax prepayments held by the Tax Authority and free reserves kept at the Czech National Bank at zero interest rate create room for escaping from the policy. Additionally, debt repayments in cash and interest-free accounts of government and public institutions administrated by the Czech National Bank could lead to undesirable advantages. A complementary VAR model analysis of the interest rate transmission under negative policy rates was performed to evaluate quan- titatively the experience from European countries, however, short data series available provided merely indicative results.
|
|
|
Financial Stress in the Czech and Slovak Republic: Measurement and Effects on the Real Economy
Malega, Ján ; Horváth, Roman (advisor) ; Cingl, Lubomír (referee)
In the scope of this thesis, we estimate a financial stress index particularly for the Czech Republic with application for Slovakia, and examine its development during the period 2002-2014. The advantage of the index is primarily its ability to measure the current level of stress in the financial system incorporating information from various sectors of the economy and expressing it in a single-value statistic. We find a marked increase in financial stress at the beginning of the global financial crisis and European sovereign debt crisis with a decrease to nearly pre-crisis levels by the end of our study period. Next, we estimate vector autoregression models and find out that financial stress has systematic effects on unemployment, prices and interest rates, with the maximum response occurring approximately one to two years after the shock in the Czech Republic, and with a half-year delay in Slovakia. Specifically, an increase in financial stress is associated with higher unemployment, lower prices and lower interest rates, indicating its detrimental effects on the real economy. JEL Classification G17, G32 Keywords financial stress index, vector autoregression, impulse responses
|
|
|
Modelling of Financial Stress Index in the Czech Republic using Vector Autoregression Analysis
Malega, Ján ; Horváth, Roman (advisor) ; Cingl, Lubomír (referee)
This study constructs a financial stress index with a specific focus on the case of the Czech Republic. The advantage of the index is primarily its ability to measure the current level of stress in the financial system incorporating information from various sectors of the economy and expressing it in a single-value statistic. Our index successfully recorded and evaluated critical periods of elevated financial stress especially during the recent financial crisis. Furthermore, we examine a systematic interaction between financial stress and the macroeconomics using vector autoregression analysis along with method of impulse responses. Based on our results we observe a significant and positive response of unemployment due to the shock in financial stress. Conversely, a negative effect was examined on inflation and interest rates. JEL Classification G17, G32 Keywords financial stress index, vector autoregression, impulse responses
|
|
|
Forecasting Exchange Rates: A VAR Analysis
Mida, Jaroslav ; Horváth, Roman (advisor) ; Ivanková, Kristýna (referee)
This thesis aims to out-of-sample forecast the USD/EUR exchange rate using four macroeconomic variables, namely ination, interest rate, unemployment rate and industrial production index. The model applied is the vector autoregressive model. We use monthly data for a period of 2002-2011 and use the data from 2012 in order to compare the forecast accuracy with the random walk, which is believed to outperform many models when forecasting for a short-time horizon, such as one year. We found out that the vector autogressive model beat the random walk in the period of one and three months, which was surprising. In the longer horizon of six, nine and twelve months, random walk, as expected, heavily outperformed vector autogressive model. The reasoning behind this could be that there was no clear trend in the USD/EUR exchange rate during this period.
|
guest ::
