Jaromír Kukal
Biographic Data
| ID | 4125209 |
|---|---|
| NAME | Jaromír Kukal |
| GIVEN NAMES | Jaromír |
| FAMILY NAME | Kukal |
| SIGNATURE | KUKAL J |
| ORCID | 0000-0002-4976-5843 |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2014 |
| H-INDEX | 1 |
Estimating a GARCH-M Model by a Non-Parametric Heuristic Method and Its Advantages
The models from the GARCH family are often estimated by maximum likelihood method, either parametrically or non-parametrically. Since the parametric estimation procedure is based on an a priori distribution, its misspecification can lead to the inconsistency of the estimators. Therefore non-parametric approach, in which both model's parameters and the distribution of error terms are estimated from the data, seems to be a better alternative. In ou…
Modeling the CNB's Monetary Policy Interest Rate by Artificial Neural Networks
Knowledgeability about interest rates set by a central bank is very important for all participants in an economy. In this paper we have used publicly available data to model how Czech National Bank manipulates its 2W repo rate when conducts its monetary policy. For this purpose, eight indicators are chosen. They are the Consumer Price Index (CPI), GDP growth rate (HDP), the monthly exchange rate EURCZK (KURZ), the monthly growth rate of monetary …
Modeling the CNB's Monetary Policy Interest Rate by Artificial Neural Networks
Knowledgeability about interest rates set by a central bank is very important for all participants in an economy. In this paper we have used publicly available data to model how Czech National Bank manipulates its 2W repo rate when conducts its monetary policy. For this purpose, eight indicators are chosen. They are the Consumer Price Index (CPI), GDP growth rate (HDP), the monthly exchange rate EURCZK (KURZ), the monthly growth rate of monetary …
Estimating a GARCH-M Model by a Non-Parametric Heuristic Method and Its Advantages
The models from the GARCH family are often estimated by maximum likelihood method, either parametrically or non-parametrically. Since the parametric estimation procedure is based on an a priori distribution, its misspecification can lead to the inconsistency of the estimators. Therefore non-parametric approach, in which both model's parameters and the distribution of error terms are estimated from the data, seems to be a better alternative. In ou…
Modeling the CNB's Monetary Policy Interest Rate by Artificial Neural Networks
Knowledgeability about interest rates set by a central bank is very important for all participants in an economy. In this paper we have used publicly available data to model how Czech National Bank manipulates its 2W repo rate when conducts its monetary policy. For this purpose, eight indicators are chosen. They are the Consumer Price Index (CPI), GDP growth rate (HDP), the monthly exchange rate EURCZK (KURZ), the monthly growth rate of monetary …
Estimating a GARCH-M Model by a Non-Parametric Heuristic Method and Its Advantages
The models from the GARCH family are often estimated by maximum likelihood method, either parametrically or non-parametrically. Since the parametric estimation procedure is based on an a priori distribution, its misspecification can lead to the inconsistency of the estimators. Therefore non-parametric approach, in which both model's parameters and the distribution of error terms are estimated from the data, seems to be a better alternative. In ou…
Econometrics (2 works) · Economics (2 works) · Monetary Policy and Economic Impact (2 works) · A priori and a posteriori (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Autoregressive conditional heteroskedasticity (1 work) · Computer Science (1 work) · Estimation (1 work)