Search results

1

Orthogonal transformation of coordinates in Copula M -GARCH models — bayesian analysis for WIG20 spot and futures returns

100%

Pipień M.

Folia Oeconomica Cracoviensia

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2012

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vol. 53

21-40

EN

We check the empirical importance of some generalisations of the conditional distribution in M-GARCH case. A copula M-GARCH model with coordinate free conditional distribution is considered, as a continuation of research concerning specification of the conditional distribution in multivariate volatility models, see Pipień (2007, 2010). The main advantage of the proposed family of probability distributions is that the coordinate axes, along which heavy tails and symmetry can be modelled, are subject to statistical inference. Along a set of specified coordinates both, linear and nonlinear dependence can be expressed in a decomposed form. In the empirical part of the paper we considered a problem of modelling the dynamics of the returns on the spot and future quotations of the WIG20 index from the Warsaw Stock Exchange. On the basis of the posterior odds ratio we checked the data support of considered generalisation, comparing it with BEKK model with the conditional distribution simply constructed as a product of the univariate skewed components. Our example clearly showed the empirical importance of the proposed class of the coordinate free conditional distributions.

PL

W artykule przedstawiono uogólnienie rozkładu warunkowego w wielowymiarowym modelu typu GARCH, oraz poddano empirycznej weryfikacji skonstruowany model. Praca stanowi kontynuację badań prowadzonych przez Pipienia (2007, 2010) nad właściwą specyfikacją rozkładów warunkowych wektora stóp zmian instrumentów finansowych. Zasadniczym elementem określającym giętkość rozważanej klasy wielowymiarowych rozkładów jest możliwość zmiany układu współrzędnych, i - tym samym — kierunków w przestrzeni obserwacji, według których grube ogony i asymetria rozkładu mogą występować empirycznie. Zgodnie z przyjętą orientacją w przestrzeni obserwacji, możliwe jest modelowanie zależności pomiędzy elementami wektora losowego, zarówno o charakterze liniowym (stosowana transformacja liniowa) jak i nieliniowym (funkcja powiązań, copula). W części empirycznej przedstawiamy wyniki modelowania dynamicznych zależności pomiędzy zwrotami z notowania spot i futures indeksu WIG20. Uzyskane rezultaty wskazują na zasadność proponowanego uogólnienia stosowanego w modelu BEKK. Model z proponowanym typem rozkładu warunkowego uzyskuje silne potwierdzenie empiryczne, mierzone ilorazem szans a posteriori i wartością brzegowej gęstości wektora obserwacji.

2

An approach to measuring the relation between risk and return. Bayesian analysis for WIG data

100%

Pipień M.

Folia Oeconomica Cracoviensia

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2007

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vol. 48

95-117

EN

The main goal of this paper is an application of Bayesian inference in testing the relation between risk and return of the financial time series. On the basis of the Intertemporal CAl’M model, proposed by Merton (1973), we built a general sampling model suitable in analysing such relationship. The most important feature of our model assumptions is that the possible skewness of conditional distribution of returns is used as an alternative source of relation between risk and return. Thus, pure statistical feature of the sampling model is equipped with economic interpretation. This general specification relates to GARCH-In-Mean model proposed by Osiewalski and Pipień (2000). In order to make conditional distribution of financial returns skewed we considered a constructive approach based on the inverse probability integral transformation. In particular, we apply the hidden truncation mechanism, two approaches based on the inverse scale factors in the positive and the negative orthant, order statistics concept, Beta distribution transformation, Bernstein density transformation and the method recently proposed by Ferreira and Steel (2006). Based on the daily excess returns of WIG index we checked the total impact of conditional skewness assumption on the relation between return and risk on the Warsaw Stock Market. Posterior inference about skewness mechanisms confirmed positive and decisively significant relationship between expected return and risk. The greatest data support, as measured by the posterior probability value, receives model with conditional skewness based on the Beta distribution transform ation with two free parameters.

3

Dynamic Bayesian Inference in GARCH Processes with Skewed-t and Stable Conditional Distributions

100%

Pipień M., Cracow University of Economics D. o. E.

Acta Universitatis Lodziensis. Folia Oeconomica

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2005

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vol. 192

EN

In AR(1)-GARCH(1, 1) framework for daily returns, proposed and adopted by Bauwens and Lubrano (1997), Bauwens et al. (1999), Osiewalski and Pipień (2003), we considered two types of conditional distribution. In the first model (M₁,) we assumed conditionally skewed-i distribution (defined by Fernandez and Steel 1998) while the second GARCH specification (M₂) is based on the conditional stable distribution. We present Bayesian updating technique in order to check sensitivity of the posterior probabilities of considered specifications with respect to new observations included into dataset. We also study differences between Bayesian inference about tails and asymmetry of the conditional distribution of daily returns and between one-day predictive densities of growth rates obtained from both models. The results of dynamic Bayesian estimation, prediction and comparison of explanatory power of models M₁, and M₂ are based on very volatile daily growth rates of the WIBOR one-month interest rates and daily returns on the PLN/USD exchange rate.

PL

W artykule przedstawiono modele AR(1)-GARCH(1,1) dla dziennych stóp zmian (por. Bauwens i Lubrano 1997, Bauwens i in. 1999, Osiewalski i Pipień 2003) z różnymi typami rozkładu warunkowego. W pierwszym przypadku (model M₁) rozważono warunkowy rozkład skośny t-studenta (zdefiniowany przez Fernández i Steela 1998), podczas gdy model M₂ to proces GARCH o warunkowym rozkładzie α-stabilnym. Prezentujemy bayesowską aktualizację rozkładów a posteriori i predyktywnych (wraz z napływem nowych danych) w celu zbadania, czy typ rozkładu warunkowego zadany w procesie GARCH wpływa na wnioskowanie o naturze procesów opisujących zmienność finansowych szeregów czasowych o dużej częstotliwości. Rezultaty dynamicznej estymacji wykorzystującej podejście bayesowskie zilustrowano na przykładzie dwóch szeregów czasowych, tzn. dziennych stóp zmian kursu walutowego PLN/USD oraz oprocentowań jednomiesięcznych lokat międzybankowych (WIBORlm).

4

Własności empiryczne cyklu finansowego — analiza porównawcza Czech, Polski, Węgier, Wielkiej Brytanii i USA

63%

Lenart Ł., Pipień M.

Folia Oeconomica Cracoviensia

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2015

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vol. 56

81-113

EN

We discuss the notion of the financial cycle indicating its novelty within the research project of analysing the cyclical nature of fluctuations of economic systems. We focus on the observed series of credit and make formal statistical inference about the properties of the cycles in case of five countries, namely Czech Republic, Great Britain, Hungary, Poland and USA. The non-standard subsampling procedure and discrete spectral characteristics of almost periodically correlated time series are applied to make formal statistical inference about the cycle. We extract the cyclical component and confront empirical properties of the financial cycle for small open economy with those established so far in case of developed economies. This research is based partially on the results from Lenart and Pipień (2013a) and Lenart and Pipień (2015).

PL

Podjęte w opracowaniu zagadnienie cykliczności w systemie finansowym jest nową odsłoną klasycznych, bo rozważanych od ponad 160-ciu lat, badań nad cykliczną naturą zjawisk w ekonomii. Celem badań było wypracowanie metod wnioskowania statystycznego w celu określenia cech cyklu finansowego i w szczególności kredytowego. W pracy zaproponowano nieparametryczny test, umożliwiający wnioskowanie o statystycznie istotnych częstościach dyskretnego spektrum procesu opisującego cykliczne fluktuacje. Uzyskane rezultaty empiryczne pozwalają stwierdzić, że cechy cyklu kredytowego dla Polski mają charakter swoisty i znacznie różnią się od tych otrzymanych dla rozwiniętych gospodarek. Cykl kredytowy trwa w przypadku Polski około dekady i jest podobny do cyklu uzyskanego w przypadku Czech, trwającego 12 lat.

5

Analiza czasów trwania pomiędzy zmianami kierunku cen akcji — wpływ uwzględnienia wewnątrzdziennej sezonowości na ranking modeli ACD

63%

Białkowska J., Pipień M.

Folia Oeconomica Cracoviensia

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2015

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vol. 56

35-80

EN

The main purpose of the paper was to investigate the properties of a particular type of price duration process, analysed on the field of modelling transaction data. We considered duration between changes in direction of trend for the price processes and consider the problem of stability of the relative explanatory power of a class of ACD models with respect to the seasonality adjustment. We report model ranking on the basis of information criteria and discuss its sensitivity with respect to the seasonality adjustment procedure elaborated on the basis of nonparametric Nadaraya and Watson regression.

PL

Przedmiotem badań są dane o wysokiej częstotliwości opisujące kształtowanie się czasu trwania zmiany kierunku cen akcji. Do analizy odstępów czasu pomiędzy dwoma kolejnymi zdarzeniami transakcyjnymi, polegającymi na zmianie trendu cenowego akcji, wykorzystuje się modele warunkowego czasu trwania (ang. Autoregressive Conditional Duration, ACD). Jednym z celów niniejszej pracy jest zbudowanie rankingu modeli ACD ze względu na ich jakość dopasowania. W artykule zbadano wpływu procedury odsezonowania na zmianę pozycji modeli w rankingu. W celu uwzględnienia efektu wewnątrzdziennej sezonowości zastosowano nieparametryczną regresję Nadaraya i Watsona z funkcją jądrową normalną. Aby potwierdzić poprawność zbudowanych rankingów dla danych odsezonowanych i tych bez efektu cykliczności, przeprowadzono weryfikację statystyczną przy pomocy testów t-Studenta oraz testu ilorazu wiarygodności.

6

Ekonometryczna analiza prawdopodobieństwa zawarcia transakcji wynikających z napływu informacji - wpływ założeń co do rozkładu stóp zwrotu na zmienność miary VPIN

63%

Niedużak M., Pipień M.

Przegląd Statystyczny

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2014

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vol. 61

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issue 2

131-145

PL

Niniejsze opracowanie stanowi próbę syntetycznego przybliżenia fluktuacji intencji i oczekiwań inwestorów dokonujących transakcji wynikających z napływu nowej informacji na rynek (ang. informed trading). Na podstawie zmienności wolumenu i cen akcji KGHM Polska Miedź Spółki Akcyjnej notowanej na Giełdzie Papierów Wartościowych w Warszawie oszacowano miarę prawdopodobieństwa zawarcia transakcji wynikających z napływu nowych informacji - VPIN (volume-synchronized probability of informed trading). Otrzymane wyniki badania mogą stanowić podstawę do analityczno-empirycznej weryfikacji, jak pojawiająca się na rynku informacja wpływa na zachowania inwestorów.

EN

This article is as an attempt to introduce fluctuation of expectations of investors who make transactions resulting from the influx of new information on the market (informed trading). The Volume-synchronized probability of informed trading was estimated on the basis of price variation of KGHM Polska Miedź S.A. shares listed on the Warsaw Stock Market. The results of this analysis might serve as an analytical and empirical basis for further verification on how new information affects investors’ behavior.

7

Cross country linkages as determinants of procyclicality of loan loss provisions – empirical importance of SURE specification

63%

Olszak M. ł., Pipień M.

Faculty of Management Working Paper Series

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2013

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issue WPS 2/2014

1-19

EN

Procyclicality in banking may result in financial instability and therefore be destructive to economic growth. The sensitivity of different banking balance sheet and income statement variables to the business cycle is diversified and may be prone to increasing integration of financial markets. In this paper we address the problem of the influence of financial integration on the transmission of economic shocks from one country to another and consequently on the sensitivity of loan loss provisions to the business cycle. We also aim to find out whether earnings management hypotheses are supported throughout the whole business cycle. Application of the SURE approach to 13 OECD countries in 1995-2009 shows that the procyclicality of LLP is statistically significant almost in thewhole sample of countries. Independent of the econometric specification, the earnings management hypotheses are hardly supported.

8

Bayesian Pricing of an European Call Option Using a GARCH Model with Asymmetries

63%

Osiewalski J., Pipień M., Akademia Ekonomiczna w Krakowie K. E.

Acta Universitatis Lodziensis. Folia Oeconomica

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2004

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vol. 177

EN

In this paper option pricing is treated as an application of Bayesian predictive analysis. The distribution of the discounted payoff, induced by the predictive density of future observables, is the basis for direct option pricing, as in Bauwens and Lubrano (1997). We also consider another, more eclectic approach to option pricing, where the predictive distribution of the Black-Scholes value is used (with volatility measured by the conditional standard deviation at time of maturity). We use a model framework that allows for two types of asymmetry in GARCH processes: skewed t conditional densities and different reactions of conditional scale to positive/negative stocks. Our skewed t-GARCH(l, 1) model is used to describe daily changes of the Warsaw Stock Exchange Index (WIG) from 4.01.1995 till 8.02.2002. The data till 28.09.2001 are used to obtain the posterior and predictive distributions, and to illustrate Bayesian option pricing for the remaining period.

PL

W prezentowanym artykule wycena opcji jest traktowana jako jedno z zastosowań bayesowskiej analizy predyktywnej. Rozkład wartości zdyskontowanej wypłaty, indukowany przez gęstość predyktywną przyszłych stóp zwrotu, jest podstawą bezpośredniej wyceny opcji (zob. Bauwens, Lubrano, 1997). Rozważamy też bardziej eklektyczne podejście, wykorzystujące rozkład predyktywny formuły Blacka i Scholesa (ze zmiennością określoną jako warunkowe odchylenie standardowe w momencie realizacji opcji). Przyjmujemy ramy modelowe, które uwzględniają dwa rodzaje asymetrii w procesach GARCH: skośne rozkłady warunkowe (typu t-Studenta) oraz zróżnicowane reakcje wariancji warunkowej na szoki dodatnie lub ujemne. Model: skośny £-GARCH(l, 1) jest stosowany do opisu dziennej zmienności Warszawskiego Indeksu Giełdowego (WIG) od 4.01.1995 r. do 8.02.2002 r. Dane do 28.09.2001 wykorzystujemy do budowy rozkładów a posteriori i predyktywnego oraz do ilustracji bayesowskiej wyceny opcji na pozostały okres.

9

Bayesian Analysis of Dynamic Conditional Correlation Using Bivariate GARCH Models

63%

Osiewalski J., Pipień M., Cracow University of Economics D. o. E.

Acta Universitatis Lodziensis. Folia Oeconomica

|

2005

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vol. 192

EN

Multivariate ARCH-typc specifications provide a theoretically promising framework for analyses of correlation among financial instruments because they can model time-varying conditional covariance matrices. However, general VechGARCH models are too heavily parameterized and, thus, impractical for more than 2- or 3-dimensional vector lime series. A simple t-BEKK(l.l) specification seems a good compromise between parsimony and generality. Unfortunately, Bollerslev’s constant conditional correlation (CCC) model cannot be nested within VECH or BEKK GARCH structures. Recently, Engle (2002) proposed a parsimoniously parameterized generalization of the CCC model; this dynamic conditional correlation (DCC) specification may outperform many older multivariate GARCH models. In this paper we consider Bayesian analysis of the conditional correlation coefficient within different bivariate GARCH models, which are compared using Bayes factors and posterior odds. For daily growth rales of PLN/USD and PLN/DEM (6.02.1996-28.12.2001) we show that the t-BEKK(l, 1) specification fits the bivariate series much better than DCC models, but the posterior means of conditional correlation coefficients obtained within different models are very highly correlated.

PL

Wielowymiarowe specyfikacje ty^pu ARCH stanowią teoretycznie obiecujące ramy dla analiz skorelowania instrumentów finansowych, ponieważ umożliwiają modelowanie zmiennych w czasie macierzy warunkowych kowariancji. Jednak ogólne modele VechGARCH mają zbyt wiele parametrów, są więc niepraktyczne w przypadku więcej niż 2- lub 3-wymiarowych wektorowych szeregów czasowych. Prosta specyfikacja t-BEKK(1,1) wydaje się dobrym kompromisem pomiędzy oszczędnością parametryzacji i ogólnością modelu. Niestety model stałych korelacji warunkowych (CCC) Boilersleva nie jest szczególnym przypadkiem struktur VECH czy BEKK. Ostatnio Englc (2002) zaproponował oszczędnie sparametryzowane uogólnienie modelu CCC; ta specyfikacja o dynamicznej korelacji warunkowej (DCC) może zdominować wiele starszych wielowymiarowych modeli GARCH. W artykule rozważamy bayesowską analizę warunkowego współczynnika korelacji w ramach różnych dwuwymiarowych modeli GARCH, które są porównywane przy użyciu czynników Bayesa i ilorazów szans a posteriori. Dla dziennych stóp zmian kursów PLN/USD i PLN/DEM (6.02.1996 - 28.12.2001) wykazuje się, że specyfikacja t-BEKK(l.l) opisuje dwuwymiarowy szereg czasowy znacznie lepiej niż modele DCC. Jednak wartości oczekiwane a posteriori warunkowych współczynników korelacji, uzyskane w ramach różnych modeli, są bardzo silnie skorelowane.

10

THE IMPACT OF CAPITAL RATIO ON LENDING OF EU BANKS – THE ROLE OF BANK SPECIALIZATION AND CAPITALIZATION

51%

Olszak M., Pipień M., Roszkowska S.

Equilibrium. Quarterly Journal of Economics and Economic Policy

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2016

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vol. 11

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issue 1

43-59

EN

In this paper we aim to find out whether bank specialization and bank capitalization affect the relationship between loans growth and capital ratio, both in expansions and in contractions. We hypothesize that the impact of bank capital on lending is relatively strong in cooperative banks and savings banks. We also expect that this effect is nonlinear, and is stronger in “low” capital banks than in “high” capital banks. In order to test our hypotheses, we apply the two-step GMM robust estimator for data spanning the years 1996–2011 on individual banks available in the Bankscope database. Our analysis shows that lending of poorly capitalized banks is more affected by capital ratio than lending of well-capitalized banks. Loans growth of cooperative and savings banks is more capital constrained that lending of commercial banks. Capital matters for the lending activity in contractions only in the case of savings and “low” capital banks.

11

STATISTICAL ANALYSIS OF BUSINESS CYCLE FLUCTUATIONS IN POLAND BEFORE AND AFTER THE CRISIS

51%

Lenart Ł., Mazur B., Pipień M.

Equilibrium. Quarterly Journal of Economics and Economic Policy

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2016

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vol. 11

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issue 4

769-783

EN

The main objective of the paper is to investigate properties of business cycles in the Polish economy before and after the recent crisis. The essential issue addressed here is whether there is statistical evidence that the recent crisis has affected the properties of the business cycle fluctuations. In order to improve robustness of the results, we do not confine ourselves to any single inference method, but instead use different groups of statistical tools, including non-parametric methods based on subsampling and parametric Bayesian methods. We examine monthly series of industrial production (from January 1995 till December 2014), considering the properties of cycles in growth rates and in deviations from long-run trend. Empirical analysis is based on the sequence of expanding-window samples, with the shortest sample ending in December 2006. The main finding is that the two frequencies driving business cycle fluctuations in Poland correspond to cycles with periods of 2 and 3.5 years, and (perhaps surprisingly) the result holds both before and after the crisis. We, therefore, find no support for the claim that features (in particular frequencies) that characterize Polish business cycle fluctuations have changed after the recent crisis. The conclusion is unanimously supported by various statistical methods that are used in the paper, however, it is based on relatively short series of the data currently available.

12

The effects of capital on bank lending in large EU banks – the role of procyclicality, income smoothing, regulations and supervision.

51%

Olszak M., Pipień M., Roszkowska S., Kowalska I.

Faculty of Management Working Paper Series

|

2014

|

issue WPS 5/2014

1-41

EN

This paper aims to find out what the impact is of bank capital ratios on loan supply in the EU and what factors explain the potential diversity of this impact. Applying the Blundell and Bond (1998) two step GMM estimator, we show that, in the EU context, the role of capital ratio for loan growth is stronger than previous literature has found for other countries. Our study sheds some light on whether procyclicality of loan loss provisions and income smoothing with loan loss provisions contribute to procyclical impact of capital ratio on loan growth. We document that loan growth of banks that have more procyclical loan loss provisions and that engage less in income smoothing is more sensitive to capital ratios. This sensitivity is slightly increased in this sample of banks during contractions. Moreover, more restrictive regulations and more stringent official supervision reduce the magnitude of the effect of capital ratio on bank lending. Taken together, our results suggest that capital ratios are an important determinant of lending in large EU banks.

13

Do regulations and supervision shape the capital crunch effect of large banks in the EU?

51%

Olszak M., Pipień M., Kowalska I., Roszkowska S.

Faculty of Management Working Paper Series

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2015

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issue WPS 3/2015

1-27

EN

This paper extends the literature on the capital crunch effect by examining the role of public policy for the link between lending and capital in a sample of large banks operating in the European Union. Applying Blundell and Bond (1998) two-step robust GMM estimator we show that restrictions on bank activities and more stringent capital standards weaken the capital crunch effect, consistent with reduced risk taking and boosted bank charter values. Official supervision also reduces the impact of capital ratio on lending in downturns. Private oversight seems to be related to thin capital buffers in expansions, and therefore the capital crunch effect is enhanced in countries with increased market discipline. We thus provide evidence that neither regulations nor supervision at the microprudential level is neutral from a financial stability perspective. Weak regulations and supervision seem to increase the pro-cyclical effect of capital on bank lending.

14

The impact of capital on lending in publicly-traded and privately- held banks in the EU

51%

Olszak M., Pipień M., Kowalska I., Roszkowska S.

Faculty of Management Working Paper Series

|

2015

|

issue WPS 7/2015

1-25

EN

This paper extends the literature on the link between lending and capital by examining the role of equity ownership structure for this link in banks operating in the European Union. As theory predicts, publiclytraded banks are more prone to heightened agency problems (moral hazard and adverse selection) due to dispersed ownership and therefore have stronger incentives to engage in excessive risk-taking especially in economic expansions. This may bring about procyclical lending effect in economic downturns. Theory also predicts that these banks are also more affected by capital market frictions in economic downturns. Applying Blundell and Bond (1998) two step robust GMM estimator we predict and find that the link between lending and capital in economic downturns is stronger in publicly-traded banks than in privately- held banks, which may be a result of greater conditional accounting conservatism of publicly-traded banks. Additionally, the link between lending and capital during expansions is stronger in the case of privately- held banks reporting unconsolidated data, but not for banks reporting consolidated financial reports, consistent with the view that limited access to capital markets increases the cost of external finance of private banks. Finally, we find empirical support for the view that lending of privately- held banks is not constrained by capital ratio in economic downturns. Our results stress the importance of conditional conservatism for the effectiveness macroprudential policy, in particular countercyclical capital buffers.

15

What drives heterogeneity of procyclicality of loan loss provisions in the EU?

51%

Olszak O., Pipień M., Kowalska I., Roszkowska S.

Faculty of Management Working Paper Series

|

2014

|

issue WPS 3/2014

1-34

EN

Using the two step system GMM Blundell and Bond estimator this paper documents a large cross-bank and cross-country variation in the relationship between loan loss provisions (LLP) and the business cycle and explores bank management specific, bank-activity specific and country specific (institutional and regulatory) features that explain this diversity in the European Union. Our results indicate that LLP in large, publicly traded and commercial banks, as well as in banks reporting consolidated statements, are more procyclical. Better investor protection and more restrictive bank capital regulations reduce the procyclicality of LLP. We do not find support for the view that better quality of market monitoring mitigates the sensitivity of LLP to business cycle. Our findings clearly indicate the empirical importance of income smoothing, capital management and credit risk management for decreased procyclicality of LLP.

16

The impact of capital on lending in economic downturns and investor protection – the case of large EU banks

51%

Olszak M., Pipień M., Kowalska I., Roszkowska S.

Faculty of Management Working Paper Series

|

2015

|

issue WPS 6/2015

1-33

EN

This paper attempts to find out whether better quality of investor protection matters for the effect of capital ratio on loan growth of large EU banks in 1996-2011. We focus on several measures of the quality of investor protection with a proven track record in the banking literature, i.e.: anti-self-dealing index, ex-antecontrol and ex-post-control of anti-self-dealing indices, and creditor protection rights index. Our results show that better investor protection increases the procyclical impact of capital on lending in the sample of banks reporting unconsolidated data. This is consistent with the view that better shareholders rights protection induces bank borrowers to take more loans and to engage in more risk-taking, in particular during economic booms, which results in greater sensitivity of bank lending to capital ratios in economic downturns. The opposite effect is found in the sample of banks reporting consolidated data. This effect is consistent with the view that better minority shareholders protection may reduce risk-taking incentives of large banks and result in better risk management of credit portfolio (and other investments of such banks).

Refine search results

Orthogonal transformation of coordinates in Copula M -GARCH models — bayesian analysis for WIG20 spot and futures returns

An approach to measuring the relation between risk and return. Bayesian analysis for WIG data

Dynamic Bayesian Inference in GARCH Processes with Skewed-t and Stable Conditional Distributions

Własności empiryczne cyklu finansowego — analiza porównawcza Czech, Polski, Węgier, Wielkiej Brytanii i USA

Analiza czasów trwania pomiędzy zmianami kierunku cen akcji — wpływ uwzględnienia wewnątrzdziennej sezonowości na ranking modeli ACD

Ekonometryczna analiza prawdopodobieństwa zawarcia transakcji wynikających z napływu informacji - wpływ założeń co do rozkładu stóp zwrotu na zmienność miary VPIN

Cross country linkages as determinants of procyclicality of loan loss provisions – empirical importance of SURE specification

Bayesian Pricing of an European Call Option Using a GARCH Model with Asymmetries

Bayesian Analysis of Dynamic Conditional Correlation Using Bivariate GARCH Models

THE IMPACT OF CAPITAL RATIO ON LENDING OF EU BANKS – THE ROLE OF BANK SPECIALIZATION AND CAPITALIZATION

STATISTICAL ANALYSIS OF BUSINESS CYCLE FLUCTUATIONS IN POLAND BEFORE AND AFTER THE CRISIS

The effects of capital on bank lending in large EU banks – the role of procyclicality, income smoothing, regulations and supervision.

Do regulations and supervision shape the capital crunch effect of large banks in the EU?

The impact of capital on lending in publicly-traded and privately- held banks in the EU

What drives heterogeneity of procyclicality of loan loss provisions in the EU?

The impact of capital on lending in economic downturns and investor protection – the case of large EU banks