Working Papers

The WNE Working Papers series has been published by the Faculty of Economic Sciences at the University of Warsaw since 2008.

The WNE Working Papers series provides a fast, open channel for disseminating research conducted at the Faculty of Economic Sciences, University of Warsaw. The papers hosted here are working versions (pre-prints) and may evolve as authors refine their analyses, incorporate feedback, or progress through formal peer-review. What you read is the current version released by the authors, timestamped and assigned DOI/ISSN identifiers to ensure precise citation and version tracking. Copyright remains with the authors, who may, at any time, upload a revised file or add a note directing readers to a later, peer-reviewed publication.

The Working Papers series accepts articles by research employees of the Faculty and publications from conferences organised at the Faculty of Economic Sciences at the University of Warsaw. Articles should be original research papers which have not been previously published, on the subject of economics.

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Number of Results 2

WP(15/2022)391. Quantitative Easing in the US and Financial Cycles in Emerging Markets

Authors: Kolasa Marcin, Wesołowski Grzegorz
Large international capital movements tend to be associated with strong fluctuations in asset prices and credit, contributing to domestic financial cycles and posing challenges for stabilization policies, especially in emerging market economies. In t…

WP391. Quantitative Easing in the US and Financial Cycles in Emerging Markets

Large international capital movements tend to be associated with strong fluctuations in asset prices and credit, contributing to domestic financial cycles and posing challenges for stabilization policies, especially in emerging market economies. In this paper we argue that these challenges are particularly severe if the global financial cycle is driven by quantitative easing (QE) in the US, and when the local banking sector has large holdings of government bonds, like in many Latin American (LA) countries. We first investigate empirically the impact of a typical round of QE by the US Fed on LA economies, finding a persistent expansion in credit to households and house prices as well as a significant loss of price competitiveness in this group of economies. We next develop a quantitative macroeconomic model of a small open economy with segmented asset markets and banks, which accounts for these observations. In this framework, foreign QE creates tensions between macroeconomic and financial stability as a contractionary impact of exchange rate appreciation is accompanied by booming credit and house prices. As a consequence, conventional monetary policy accommodation aimed at stabilizing output and inflation would further exacerbate domestic financial cycle. We show that an effective way of resolving this trade-off is to impose a time-varying tax on capital inflows. Combining foreign exchange interventions with tightening of local credit policies can also restore macroeconomic and financial stability, but at the expense of a large redistribution of wealth between borrowers and savers.


Kolasa Marcin, Wesołowski Grzegorz
quantitative easing global financial cycle domestic credit exchange rate interventions capital controls macroprudential policy

WP(8/2016)199. Do Multi-Factor Models Produce Robust Results? Econometric and Diagnostic Issues in Equity Risk Premia Study

Authors: Sakowski Paweł, Ślepaczuk Robert, Wywiał Mateusz
In recent decades numerous studies verified empirical validity of the CAPM model. Many of them showed that CAPM alone is not able to explain cross-sectional variation of stock returns. Researchers revealed various risk factors which explained outperf…

WP199. Do Multi-Factor Models Produce Robust Results? Econometric and Diagnostic Issues in Equity Risk Premia Study

In recent decades numerous studies verified empirical validity of the CAPM model. Many of them showed that CAPM alone is not able to explain cross-sectional variation of stock returns. Researchers revealed various risk factors which explained outperformance of given groups of stocks or proposed modifcations to existing multi-factor models. 
Surprisingly, we hardly find any discussion in financial literature about potential drawbacks of applying standard OLS method to estimate parameters of such models. Yet, the question of robustness of OLS results to invalid assumptions shouldn't be ignored. This article aims to address diagnostic and econometric issues which can influence results of a time-series multifactor model. 
Based on the preliminary results of a five-factor model for 81 emerging and developed equity indices (Sakowski, Slepaczuk and Wywial, 2016a) obtained with OLS we check the robustness of these results to popular violations of OLS assumptions. We find autocorrelation of error term, heteroscedasticity and ARCH effects for most of 81 regressions and apply an AR-GARCH model using MLE to remove them. We also identify outliers and diagnose collinearity problems. Additionally, we apply GMM to avoid strong assumption of IID error term. 
Finally, we present comparison of parameters estimates and Rsquared values obtained by three different methods of estimation: OLS, MLE and GMM. We find that results do not differ substantially between these three methods and allow to draw the same conclusions from the investigated five-factor model.


Sakowski Paweł, Ślepaczuk Robert, Wywiał Mateusz
multi-factor models asset prising models equity risk premia OLS MLE GMM autocorrelation heteroscedasticity outliers collinearity normality econometric diagnostics
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