The paper contains a description of four different block bootstrap methods, i.e., non-overlapping block bootstrap, overlapping block bootstrap (moving block bootstrap), stationary block bootstrap and subsampling. Furthermore, the basic goal of this paper is to quantify relative efficiency of each mentioned block bootstrap procedure and then to compare those methods. To achieve the goal, we measure mean square errors of estimation variance returns. The returns are calculated from 1250 daily observations of Serbian stock market index values BELEX15 from April 2009 to April 2014. Thereby, considering the effects of potential changes in decisions according to variations in the sample length and purposes of the use, this paper introduces stabili...
peer reviewedFinancial advisors commonly recommend that the investment horizon should be rather long...
In this diploma thesis we explain the main principles and properties of bootstrap methods, that can ...
Aim of this thesis is to introduce the reader to the basic bootstrap techniques used in econometrics...
The paper contains a description of four different block bootstrap methods, i.e., non-overlapping bl...
In this study, we propose sufficient time series bootstrap methods that achieve better results than ...
This paper compares different versions of the multiple variance ratio test based on bootstrap techni...
This paper contains a comparison of in-sample and out-of-sample performances between the resampled e...
This paper considers the block selection problem for a block bootstrap vari-ance estimator applied t...
Abstract This paper presents a comparison of the nonparametric and parametric bootstrap methods, whe...
ObjectiveThe purpose of this study is to compare the performance of the four estimation methods (tra...
This paper considers the problem of choosing the number of bootstrap repetitions B for bootstrap sta...
This Diploma thesis deals with principles, asymptotic properties and comparison of bootstrap methods...
ObjectiveThe purpose of this study is to compare the performance of the four estimation methods (tra...
This paper considers the problem of choosing the number of bootstrap repetitions B for bootstrap sta...
This paper provides a brief survey of the bootstrap and its use in econometrics. As an introduction,...
peer reviewedFinancial advisors commonly recommend that the investment horizon should be rather long...
In this diploma thesis we explain the main principles and properties of bootstrap methods, that can ...
Aim of this thesis is to introduce the reader to the basic bootstrap techniques used in econometrics...
The paper contains a description of four different block bootstrap methods, i.e., non-overlapping bl...
In this study, we propose sufficient time series bootstrap methods that achieve better results than ...
This paper compares different versions of the multiple variance ratio test based on bootstrap techni...
This paper contains a comparison of in-sample and out-of-sample performances between the resampled e...
This paper considers the block selection problem for a block bootstrap vari-ance estimator applied t...
Abstract This paper presents a comparison of the nonparametric and parametric bootstrap methods, whe...
ObjectiveThe purpose of this study is to compare the performance of the four estimation methods (tra...
This paper considers the problem of choosing the number of bootstrap repetitions B for bootstrap sta...
This Diploma thesis deals with principles, asymptotic properties and comparison of bootstrap methods...
ObjectiveThe purpose of this study is to compare the performance of the four estimation methods (tra...
This paper considers the problem of choosing the number of bootstrap repetitions B for bootstrap sta...
This paper provides a brief survey of the bootstrap and its use in econometrics. As an introduction,...
peer reviewedFinancial advisors commonly recommend that the investment horizon should be rather long...
In this diploma thesis we explain the main principles and properties of bootstrap methods, that can ...
Aim of this thesis is to introduce the reader to the basic bootstrap techniques used in econometrics...