Nauki Humanistyczne i Społeczne

Central European Journal of Economic Modelling and Econometrics

Zawartość

Central European Journal of Economic Modelling and Econometrics | 2016 | No 1

Abstrakt

In empirical research on financial market microstructure and in testing some predictions from the market microstructure literature, the behavior of some characteristics of trading process can be very important and useful. Among all characteristics associated with tick-by-tick data, the trading time and the price seem the most important. The very first joint model for prices and durations, the so-called UHF-GARCH, has been introduced by Engle (2000). The main aim of this paper is to propose a simple, novel extension of Engle’s specification based on trade-to-trade data and to develop and apply the Bayesian approach to estimation of this model. The intraday dynamics of the return volatility is modelled by an EGARCH-type specification adapted to irregularly time-spaced data. In the analysis of price durations, the Box-Cox ACD model with the generalized gamma distribution for the error term is considered. To the best of our knowledge, the UHF-GARCH model with such a combination of the EGARCH and the Box-Cox ACD structures has not been studied in the literature so far. To estimate the model, the Bayesian approach is adopted. Finally, the methodology developed in the paper is employed to analyze transaction data from the Polish Stock Market.

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Autorzy i Afiliacje

Roman Huptas

Abstrakt

Bayesian VAR (BVAR) models offer a practical solution to the parameter proliferation concerns as they allow to introduce a priori information on seasonality and persistence of inflation in a multivariate framework. We investigate alternative prior specifications in the case of time series with a clear seasonal pattern. In the empirical part we forecast the monthly headline inflation in the Polish economy over the period 2011‒2014 employing two popular BVAR frameworks: a steady-state reduced-form BVAR and just-identified structural BVAR model. To evaluate the forecast performance we use the pseudo real-time vintages of timely information from consumer and financial markets. We compare different models in terms of both point and density forecasts. Using formal testing procedure for density-based scores we provide the empirical evidence of superiority of the steady-state BVAR specifications with tight seasonal priors.

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Autorzy i Afiliacje

Damian Stelmasiak
Grzegorz Szafrański

Abstrakt

This paper describes an analysis of the effects of both foreign exchange (FX) risk and interest rate risk on installments of the housing FX loan using classic comparative statics approach. By focusing on sensitivity of annuity with respect to infinitesimal changes of parameters it presents the impact of the interest rate and FX rate on installments in terms of their shares of the total outstanding in foreign currency, and illustrates using values, in Polish zlotys, for three example loans extended during the period when Poland saw its most intensive FX lending. This analysis represents an attempt to answer a question frequently raised in this country of late: does the issue of debt servicing housing FX loans matter for borrowers and therefore could affect banks’ loan portfolio quality?

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Autorzy i Afiliacje

Zuzanna Wośko

Instrukcja dla autorów


The Central European Journal of Economic Modelling and Econometrics bases on a fully electronic editorial system available at cejeme.com, cejeme.org, cejeme.eu or cejeme.pl. This web-based editorial tracking software enables a paper-free operation of the key editorial functions of the Journal. Papers are submitted for publication electronically via electronic system (see the link "Submit article"). Also the system provides free access to the electronic form of each issue. In the review process the Central European Journal of Economic Modelling and Econometrics obeys the double blind policy. Authors submitting articles to the Central European Journal of Economic Modelling and Econometrics must follow the guidelines available at: http://www.cejeme.com/submissionguidelines.aspx. Any manuscript which does not conform to instructions will be rejected.


Submission Guidelines and Instructions for Authors of accepted papers please visit: http://cejeme.org/submissionguidelines.aspx

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