Humanities and Social Sciences

Central European Journal of Economic Modelling and Econometrics

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Central European Journal of Economic Modelling and Econometrics | 2021 | No 2

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Abstract

This paper applies recently developed procedures to monitor and date so-called “financial market dislocations”, defined as periods in which substantial deviations from arbitrage parities take place. In particular, we use a cointegration perspective to focus on deviations from the triangular arbitrage parity for exchange rate triplets. Due to increasing attention on and importance of mispricing in the market for cryptocurrencies, we include the cryptocurrency Bitcoin in addition to fiat currencies in our analysis. We do not find evidence for substantial deviations from the triangular arbitrage parity when only traditional fiat currencies are considered, but document significant deviations from triangular arbitrage parities in the newer market for Bitcoin. We tentatively confirm the importance of our results for portfolio strategies by showing that a currency portfolio that trades based on our detected break-points outperforms a simple buy-and-hold strategy.
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Authors and Affiliations

Julia Reynolds
1
ORCID: ORCID
Leopold Sögner
2 3 4
ORCID: ORCID
Martin Wagner
5 6 7
ORCID: ORCID

  1. U.S. Securities and Exchange Commission, Washington, USA
  2. Department of Economics and Finance, Institute for Advanced Studies, Vienna, Austria
  3. Vienna Graduate School of Finance, Vienna, Austria
  4. NYU Abu Dhabi , Emirate of Abu Dhabi, United Arab Emirates
  5. Department of Economics, University of Klagenfurt, Austria
  6. Bank of Slovenia, Ljubljana
  7. Institute for Advanced Studies, Vienna
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Abstract

Indian states exhibit considerable heterogeneity in terms of revenue mobilizing capacities and efforts, development spending and fiscal dependence on the central government. In this context, the paper compares the fiscal performance of major Indian states in terms of two non-parametric performance evaluation models for the period 2009–10 to 2014–15. The study thus uses the conventional two stage framework for efficiency evaluation as well as the two stage conditional performance model. The outcomes enable us to identify front-runners as well as laggards in the area of fiscal management. Further, the study showed that the gross capital formation experienced by the states significantly influences state performance in India. However, the impact of outstanding liabilities on efficiency performance was statistically insignificant.
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Authors and Affiliations

Ram Pratap Sinha
1
ORCID: ORCID

  1. Government College of Engineering and Leather Technology, Kolkata, India
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Abstract

Global Vector Autoregressive models came to be used quite widely in empirical studies using macroeconomic non-stationary panel data for the global economy. In this paper, it is shown that when the loading matrix of the cointegrating vectors is not block-diagonal and the cross-sectional spillovers of disequilibrium exist, the use of the GVAR model leads to spurious cross-sectional long-run relationships. Moreover, the results of Monte Carlo simulation show that the GVAR model is outperformed by other valid econometric approaches in terms of the maximum likelihood estimator of long-run coefficients, when the cointegrating vectors matrix is block-diagonal.
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Authors and Affiliations

Piotr Kłębowski
1
ORCID: ORCID

  1. University of Łódz, Poland
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Abstract

In this paper we study the relationship between foreign firm ownership and innovation activities in a wide group of West European and Central and East European countries. Based on a dataset including more than 100,000 firms covered by the 2014 edition of the Community Innovation Survey, we examine the role of home- and host country effects in firms’ decisions to introduce various forms of innovation. In addition, we identify a group of foreign-owned firms that specialize in exporting and interpret them as participants of hierarchic global value chains organized by multinational enterprises. We show that while foreign direct investment, especially from Germany, is positively associated with innovation, the opposite effect is observed in the case of hierarchic global value chains’ participants. The negative impact of within-multinationals global value chains on innovation is more pronounced in the affiliates located in the Central and East European countries.
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Authors and Affiliations

Andrzej Cieślik
1
ORCID: ORCID
Jan Jakub Michałek
1
ORCID: ORCID
Krzysztof Szczygielski
1
ORCID: ORCID
Jacek Lewkowicz
1
ORCID: ORCID
Jerzy Mycielski
1
ORCID: ORCID

  1. University of Warsaw, Faculty of Economic Sciences, Warsaw, Poland

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