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Improved inference on the rank of a matrix

Chen, Qihui; Fang, Zheng - In: Quantitative economics : QE ; journal of the … 10 (2019) 4, pp. 1787-1824

under are highly nonstandard due to the inherent irregular natures of the problem, and then construct bootstrap critical …

Persistent link: https://www.econbiz.de/10012202917

The use of the bootstrap method for the assessment of investment effectiveness and risk : the case of confidence intervals estimation for the Sharpe ratio and TailVaR

Klaudia, Jarno; Łukasz, Smaga - In: Journal of banking and financial economics 1 (2020) 13, pp. 40-50

This paper is aimed at presenting application of bootstrap interval estimation methods to the assessment of financial … investment’s effectiveness and risk. At first, we give an overview of various methods of bootstrap confidence interval estimation …, i.e. bootstrap-t interval, percentile interval and BCa interval. Then, bootstrap confidence interval estimation methods …

Persistent link: https://www.econbiz.de/10012887711

Bootstrap inference under cross-sectional dependence

Conley, Timothy G.; Gonçalves, Sílvia; Kim, Min Seong; … - In: Quantitative economics : QE ; journal of the … 14 (2023) 2, pp. 511-569

In this paper, we introduce a method of generating bootstrap samples with unknown patterns of cross …-sectional/spatial dependence, which we call the spatial dependent wild bootstrap. This method is a spatial counterpart to the wild dependent … bootstrap of Shao (2010) and generates data by multiplying a vector of independently and identically distributed external …

Persistent link: https://www.econbiz.de/10014308576

Measuring global macroeconomic uncertainty

Moramarco, Graziano - 2020

This paper provides new indices of global macroeconomic uncertainty and investigates the cross-country transmission of uncertainty using a global vector autoregressive (GVAR) model. The indices measure the dispersion of forecasts that results from parameter uncertainty in the GVAR. Relying on...

Persistent link: https://www.econbiz.de/10012233069

Measuring global macroeconomic uncertainty and cross-country uncertainty spillovers

Moramarco, Graziano - In: Econometrics : open access journal 11 (2023) 1, pp. 1-29

We propose an approach for jointly measuring global macroeconomic uncertainty and bilateral spillovers of uncertainty between countries using a global vector autoregressive (GVAR) model. Over the period 2000Q1-2020Q4, our global index is able to summarize a variety of uncertainty measures, such...

Persistent link: https://www.econbiz.de/10014281497

Estimating hysteresis effects

Furlanetto, Francesco; Robstad, Ørjan; Ulvedal, Pål; … - 2020

long-run impact on the productive capacity of the economy through hysteresis effects. These demand shocks are found to be …

Persistent link: https://www.econbiz.de/10012417528

Borrowing alternatives for households in Lithuania : current situation, trends and challenges

Taujanskaitė, Kamilė; Karklytė, Ieva - In: Business, mangagement and economics engineering : BMEE 19 (2021) 2, pp. 389-411

Purpose - to analyse the main borrowing alternatives available to Lithuanian households and the credit market as a whole, focusing on its peer-to-peer (P2P) segment, the forecast of its growth, and possible challenges. Research methodology - the research methods applied were scientific...

Persistent link: https://www.econbiz.de/10013348705

A generalized entropy approach to portfolio selection under a hidden markov model

MacLean, Leonard C.; Yu, Lijun; Zhao, Yonggan - In: Journal of risk and financial management : JRFM 15 (2022) 8, pp. 1-25

This paper develops a dynamic portfolio selection model incorporating economic uncertainty for business cycles. It is assumed that the financial market at each point in time is defined by a hidden Markov model, which is characterized by the overall equity market returns and volatility. The risk...

Persistent link: https://www.econbiz.de/10013375264

Integrated modified least squares estimation and (fixed-b) inference for systems of cointegrating multivariate polynomial regressions

Veldhuis, Sebastian; Wagner, Martin - 2024

We consider integrated modified least squares estimation for systems of cointegrating multivariate polynomial regressions, i. e., systems of regressions that include deterministic variables, integrated processes and products of these variables as regressors. The errors are allowed to be...

Persistent link: https://www.econbiz.de/10014529360

Integrated modified OLS estimation and fixed-b inference for cointegrating multivariate polynomial regressions

Vogelsang, Timothy J.; Wagner, Martin - 2024

This paper shows that the integrated modified OLS (IM-OLS) estimator developed for cointegrating linear regressions in Vogelsang and Wagner (2014a) can be straightforwardly extended to cointegrating multivariate polynomial regressions. These are regression models that include as explanatory...

Persistent link: https://www.econbiz.de/10014519282