Ryszard Kokoszczyński
(Ryszard Kokoszczynski)

Personal Details

First Name:	Ryszard
Middle Name:
Last Name:	Kokoszczynski
Suffix:
RePEc Short-ID:	pko306
	[This author has chosen not to make the email address public]

Affiliation

(50%) Narodowy Bank Polski

Warszawa, Poland
http://www.nbp.pl/
RePEc:edi:nbpgvpl (more details at EDIRC)

(50%) Wydział Nauk Ekonomicznych
Uniwersytet Warszawski

Warszawa, Poland
http://www.wne.uw.edu.pl/
RePEc:edi:fesuwpl (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

1. Juliusz Jabłecki & Ryszard Kokoszczyński & Paweł Sakowski & Robert Ślepaczuk & Piotr Wójcik, 2014. "Does historical volatility term structure contain valuable in-formation for predicting volatility index futures?," Working Papers 2014-18, Faculty of Economic Sciences, University of Warsaw.

   Cited by:

   1. Ballestra, Luca Vincenzo & Guizzardi, Andrea & Palladini, Fabio, 2019. "Forecasting and trading on the VIX futures market: A neural network approach based on open to close returns and coincident indicators," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1250-1262.

2. Ryszard Kokoszczyński & Paweł Sakowski & Robert Ślepaczuk, 2010. "Midquotes or Transactional Data? The Comparison of Black Model on HF Data," Working Papers 2010-15, Faculty of Economic Sciences, University of Warsaw.

   Cited by:

   1. Maciej Wysocki & Robert Ślepaczuk, 2020. "Artificial Neural Networks Performance in WIG20 Index Options Pricing," Working Papers 2020-19, Faculty of Economic Sciences, University of Warsaw.
   2. Katarzyna Toporek, 2012. "Simple is better. Empirical comparison of American option valuation methods," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 29.

3. Ryszard Kokoszczyński & Natalia Nehrebecka & Paweł Sakowski & Paweł Strawiński & Robert Ślepaczuk, 2010. "Option Pricing Models with HF Data – a Comparative Study. The Properties of Black Model with Different Volatility Measures," Working Papers 2010-03, Faculty of Economic Sciences, University of Warsaw.

   Cited by:

   1. Maciej Wysocki & Robert Ślepaczuk, 2020. "Artificial Neural Networks Performance in WIG20 Index Options Pricing," Working Papers 2020-19, Faculty of Economic Sciences, University of Warsaw.

4. Bohdan Klos & Ryszard Kokoszczynski & Tomasz Lyziak & Jan Przystupa & Ewa Wrobel, 2005. "Structural Econometric Models in Forecasting Inflation at the National Bank of Poland," NBP Working Papers 31, Narodowy Bank Polski.

   Cited by:

   1. Katarzyna Budnik & Michal Greszta & Michal Hulej & Marcin Kolasa & Karol Murawski & Michal Rot & Bartosz Rybaczyk & Magdalena Tarnicka, 2009. "The new macroeconometric model of the Polish economy," NBP Working Papers 62, Narodowy Bank Polski.
   2. Ales Bulir & Jaromir Hurnik, 2006. "The Maastricht Inflation Criterion: "Saints" and "Sinners"," Working Papers 2006/8, Czech National Bank.
   3. Przystupa, Jan & Wróbel, Ewa, 2009. "Asymmetry of the exchange rate pass-through: An exercise on the Polish data," MPRA Paper 17660, University Library of Munich, Germany.
   4. Lyziak, Tomasz & Mackiewicz, Joanna & Stanislawska, Ewa, 2007. "Central bank transparency and credibility: The case of Poland, 1998-2004," European Journal of Political Economy, Elsevier, vol. 23(1), pages 67-87, March.
   5. Damdinsuren, Batnyam & Doojav, Gan-Ochir & Łyziak, Tomasz, 2008. "Small Inflation Model of Mongolia (SIMOM)," MPRA Paper 72139, University Library of Munich, Germany, revised Apr 2008.

Articles

1. Ryszard Kokoszczyński & Joanna Mackiewicz‐Łyziak, 2020. "Central bank independence and inflation—Old story told anew," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(1), pages 72-89, January.

   Cited by:

   1. Kwabi, Frank O. & Boateng, Agyenim & Du, Min, 2020. "Impact of central bank independence and transparency on international equity portfolio allocation: A cross-country analysis," International Review of Financial Analysis, Elsevier, vol. 69(C).
   2. Marthinsen, John E. & Gordon, Steven R., 2022. "Hyperinflation, Optimal Currency Scopes, and a Cryptocurrency Alternative to Dollarization," The Quarterly Review of Economics and Finance, Elsevier, vol. 85(C), pages 161-173.
   3. de Haan Jakob, 2019. "Some Reflections on the Political Economy of Monetary Policy," Review of Economics, De Gruyter, vol. 70(3), pages 213-228, December.
   4. Afees A. Salisu & Elias A. Udeaja & Silva Opuala-Charles, 2022. "Central Bank Independence And Price Stability Under Alternative Political Regimes: A Global Evidence," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 25(2), pages 155-172, August.
   5. Daniel Murphy & Eric Young, 2020. "Government Debt Limits and Stabilization Policy," Working Papers 20-23, Federal Reserve Bank of Cleveland.

2. Zięba, Damian & Kokoszczyński, Ryszard & Śledziewska, Katarzyna, 2019. "Shock transmission in the cryptocurrency market. Is Bitcoin the most influential?," International Review of Financial Analysis, Elsevier, vol. 64(C), pages 102-125.

   Cited by:

   1. Silky Vigg Kushwah & Shab Hundal & Payal Goel, 2024. "Unveiling Interconnectedness and Volatility Transmission: A Novel GARCH Analysis of Leading Global Cryptocurrencies," International Journal of Economics and Financial Issues, Econjournals, vol. 14(3), pages 132-139, May.
   2. Stanisław Drożdż & Ludovico Minati & Paweł Oświȩcimka & Marek Stanuszek & Marcin Wa̧torek, 2019. "Signatures of the Crypto-Currency Market Decoupling from the Forex," Future Internet, MDPI, vol. 11(7), pages 1-18, July.
   3. Vidal-Tomás, David, 2021. "The entry and exit dynamics of the cryptocurrency market," Research in International Business and Finance, Elsevier, vol. 58(C).
   4. Vidal-Tomás, David, 2021. "Transitions in the cryptocurrency market during the COVID-19 pandemic: A network analysis," Finance Research Letters, Elsevier, vol. 43(C).
   5. Demir, Ender & Simonyan, Serdar & García-Gómez, Conrado-Diego & Lau, Chi Keung Marco, 2021. "The asymmetric effect of bitcoin on altcoins: evidence from the nonlinear autoregressive distributed lag (NARDL) model," Finance Research Letters, Elsevier, vol. 40(C).
   6. Bouteska, Ahmed & Sharif, Taimur & Abedin, Mohammad Zoynul, 2023. "Volatility spillovers and other dynamics between cryptocurrencies and the energy and bond markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 92(C), pages 1-13.
   7. Elie Bouri & Matteo Foglia & Sayar Karmakar & Rangan Gupta, 2024. "Return-Volatility Nexus in the Digital Asset Class: A Dynamic Multilayer Connectedness Analysis," Working Papers 202432, University of Pretoria, Department of Economics.
   8. Stanis{l}aw Dro.zd.z & Jaros{l}aw Kwapie'n & Pawe{l} O'swik{e}cimka & Tomasz Stanisz & Marcin Wk{a}torek, 2020. "Complexity in economic and social systems: cryptocurrency market at around COVID-19," Papers 2009.10030, arXiv.org.
   9. Rudkin, Simon & Rudkin, Wanling & Dłotko, Paweł, 2023. "On the topology of cryptocurrency markets," International Review of Financial Analysis, Elsevier, vol. 89(C).
   10. Helder Miguel Correia Virtuoso Sebastião & Paulo José Osório Rupino Da Cunha & Pedro Manuel Cortesão Godinho, 2021. "Cryptocurrencies and blockchain. Overview and future perspectives," International Journal of Economics and Business Research, Inderscience Enterprises Ltd, vol. 21(3), pages 305-342.
   11. Hu, Yitong & Shen, Dehua & Urquhart, Andrew, 2023. "Attention allocation and cryptocurrency return co-movement: Evidence from the stock market," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 1173-1185.
   12. Darko Vukovic & Moinak Maiti & Zoran Grubisic & Elena M. Grigorieva & Michael Frömmel, 2021. "COVID-19 Pandemic: Is the Crypto Market a Safe Haven? The Impact of the First Wave," Sustainability, MDPI, vol. 13(15), pages 1-17, July.
   13. Katsiampa, Paraskevi & Yarovaya, Larisa & Zięba, Damian, 2022. "High-frequency connectedness between Bitcoin and other top-traded crypto assets during the COVID-19 crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
   14. Mudassar Hasan & Muhammad Abubakr Naeem & Muhammad Arif & Syed Jawad Hussain Shahzad & Xuan Vinh Vo, 2022. "Liquidity connectedness in cryptocurrency market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-25, December.
   15. Al Guindy, Mohamed, 2021. "Cryptocurrency price volatility and investor attention," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 556-570.
   16. Aurelio F. Bariviera & Ignasi Merediz‐Solà, 2021. "Where Do We Stand In Cryptocurrencies Economic Research? A Survey Based On Hybrid Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 377-407, April.
       • Aurelio F. Bariviera & Ignasi Merediz-Sol`a, 2020. "Where do we stand in cryptocurrencies economic research? A survey based on hybrid analysis," Papers 2003.09723, arXiv.org.
   17. Aharon, David Y. & Umar, Zaghum & Aziz, Mukhriz Izraf Azman & Vo, Xuan vinh, 2022. "COVID-19 related media sentiment and the yield curve of G-7 economies," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
   18. Balcilar, Mehmet & Ozdemir, Huseyin & Agan, Busra, 2022. "Effects of COVID-19 on cryptocurrency and emerging market connectedness: Empirical evidence from quantile, frequency, and lasso networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
   19. Xu, Qiuhua & Zhang, Yixuan & Zhang, Ziyang, 2021. "Tail-risk spillovers in cryptocurrency markets," Finance Research Letters, Elsevier, vol. 38(C).
   20. Vladimir Balash & Alexey Faizliev & Sergei Sidorov & Elena Chistopolskaya, 2021. "Conditional Time-Varying General Dynamic Factor Models and Its Application to the Measurement of Volatility Spillovers across Russian Assets," Mathematics, MDPI, vol. 9(19), pages 1-31, October.
   21. Shahzad, Syed Jawad Hussain & Bouri, Elie & Ahmad, Tanveer & Naeem, Muhammad Abubakr, 2022. "Extreme tail network analysis of cryptocurrencies and trading strategies," Finance Research Letters, Elsevier, vol. 44(C).
   22. Yang, Boyu & Sun, Yuying & Wang, Shouyang, 2020. "A novel two-stage approach for cryptocurrency analysis," International Review of Financial Analysis, Elsevier, vol. 72(C).
   23. Yang, Ming-Yuan & Wu, Zhen-Guo & Wu, Xin, 2022. "An empirical study of risk diffusion in the cryptocurrency market based on the network analysis," Finance Research Letters, Elsevier, vol. 50(C).
   24. Moratis, George, 2021. "Quantifying the spillover effect in the cryptocurrency market," Finance Research Letters, Elsevier, vol. 38(C).
   25. Lee, Seungju & Lee, Jaewook & Lee, Yunyoung, 2023. "Dissecting the Terra-LUNA crash: Evidence from the spillover effect and information flow," Finance Research Letters, Elsevier, vol. 53(C).
   26. Yosra Ghabri & Luu Duc Toan Huynh & Muhammad Ali Nasir, 2024. "Volatility spillovers, hedging and safe‐havens under pandemics: All that glitters is not gold!," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 1318-1344, April.
   27. Etienne Harb & Charbel Bassil & Talie Kassamany & Roland Baz, 2024. "Volatility Interdependence Between Cryptocurrencies, Equity, and Bond Markets," Computational Economics, Springer;Society for Computational Economics, vol. 63(3), pages 951-981, March.
   28. Bilal Ahmed Memon & Rabia Tahir, 2021. "Examining Network Structures and Dynamics of World Energy Companies in Stock Markets: A Complex Network Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 11(4), pages 329-344.
   29. Jaros{l}aw Kwapie'n & Marcin Wk{a}torek & Stanis{l}aw Dro.zd.z, 2021. "Cryptocurrency Market Consolidation in 2020--2021," Papers 2112.06552, arXiv.org.
   30. Bouri, Elie & Jalkh, Naji, 2023. "Spillovers of joint volatility-skewness-kurtosis of major cryptocurrencies and their determinants," International Review of Financial Analysis, Elsevier, vol. 90(C).
   31. Emmanuel Joel Aikins Abakah & Aviral Kumar Tiwari & Chi‐Chuan Lee & Matthew Ntow‐Gyamfi, 2023. "Quantile price convergence and spillover effects among Bitcoin, Fintech, and artificial intelligence stocks," International Review of Finance, International Review of Finance Ltd., vol. 23(1), pages 187-205, March.
   32. Yousaf, Imran & Pham, Linh & Goodell, John W., 2023. "Interconnectedness between healthcare tokens and healthcare stocks: Evidence from a quantile VAR approach," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 271-283.
   33. Syed Riaz Mahmood Ali, 2022. "Herding in different states and terms: evidence from the cryptocurrency market," Journal of Asset Management, Palgrave Macmillan, vol. 23(4), pages 322-336, July.
   34. Bajra, Ujkan Q. & Aliu, Florin, 2023. "Deciphering the cryptocurrency conundrum: Investigating speculative characteristics and volatility," Finance Research Letters, Elsevier, vol. 58(PC).
   35. Almeida, José & Gonçalves, Tiago Cruz, 2023. "A systematic literature review of investor behavior in the cryptocurrency markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
   36. Chowdhury, Md Iftekhar Hasan & Hasan, Mudassar & Bouri, Elie & Tang, Yayan, 2024. "Emotional spillovers in the cryptocurrency market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 41(C).
   37. BRIK, Hatem & El OUAKDI, Jihene & FTITI, Zied, 2022. "Roles of stable versus nonstable cryptocurrencies in Bitcoin market dynamics," Research in International Business and Finance, Elsevier, vol. 62(C).
   38. Kim, Hyeonoh & Ha, Chang Yong & Ahn, Kwangwon, 2022. "Preference heterogeneity in Bitcoin and its forks' network," Chaos, Solitons & Fractals, Elsevier, vol. 164(C).
   39. Ante, Lennart & Fiedler, Ingo & Strehle, Elias, 2021. "The impact of transparent money flows: Effects of stablecoin transfers on the returns and trading volume of Bitcoin," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
   40. Proelss, Juliane & Sévigny, Stéphane & Schweizer, Denis, 2023. "GameFi: The perfect symbiosis of blockchain, tokens, DeFi, and NFTs?," International Review of Financial Analysis, Elsevier, vol. 90(C).
   41. Chowdhury, Md Shahedur R. & Damianov, Damian S. & Elsayed, Ahmed H., 2022. "Bubbles and crashes in cryptocurrencies: Interdependence, contagion, or asset rotation?," Finance Research Letters, Elsevier, vol. 46(PB).
   42. Chika Anastesia Anisiuba & Obiamaka P. Egbo & Felix C. Alio & Chuka Ifediora & Ebele C. Igwemeka & C. O. Odidi & Hillary Chijindu Ezeaku, 2021. "Analysis of Cryptocurrency Dynamics in the Emerging Market Economies: Does Reinforcement or Substitution Effect Prevail?," SAGE Open, , vol. 11(1), pages 21582440211, March.
   43. Bouri, Elie & Saeed, Tareq & Vo, Xuan Vinh & Roubaud, David, 2021. "Quantile connectedness in the cryptocurrency market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 71(C).
   44. Marcin Wk{a}torek & Stanis{l}aw Dro.zd.z & Jaros{l}aw Kwapie'n & Ludovico Minati & Pawe{l} O'swik{e}cimka & Marek Stanuszek, 2020. "Multiscale characteristics of the emerging global cryptocurrency market," Papers 2010.15403, arXiv.org, revised Mar 2021.
   45. Ante, Lennart & Fiedler, Ingo & Strehle, Elias, 2021. "The influence of stablecoin issuances on cryptocurrency markets," Finance Research Letters, Elsevier, vol. 41(C).
   46. Dejian Yu & Libo Sheng, 2020. "Knowledge diffusion paths of blockchain domain: the main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 471-497, October.
   47. Assaf, Ata & Bilgin, Mehmet Huseyin & Demir, Ender, 2022. "Using transfer entropy to measure information flows between cryptocurrencies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 586(C).
   48. Zhang, Shuai & Hou, Xinyu & Ba, Shusong, 2021. "What determines interest rates for bitcoin lending?," Research in International Business and Finance, Elsevier, vol. 58(C).
   49. Al-Shboul, Mohammad & Assaf, Ata & Mokni, Khaled, 2022. "When bitcoin lost its position: Cryptocurrency uncertainty and the dynamic spillover among cryptocurrencies before and during the COVID-19 pandemic," International Review of Financial Analysis, Elsevier, vol. 83(C).

3. Ryszard Kokoszczyński & Paweł Sakowski & Robert Ślepaczuk, 2017. "Which Option Pricing Model Is the Best? HF Data for Nikkei 225 Index Options," Central European Economic Journal, Sciendo, vol. 4(51), pages 18-39, December.
   • Ryszard Kokoszczyński & Paweł Sakowski & Robert Ślepaczuk, 2017. "Which Option Pricing Model Is the Best? HF Data for Nikkei 225 Index Options," Central European Economic Journal, Sciendo, vol. 4(51), pages 18-39.

   Cited by:

   1. Maciej Wysocki & Robert Ślepaczuk, 2020. "Artificial Neural Networks Performance in WIG20 Index Options Pricing," Working Papers 2020-19, Faculty of Economic Sciences, University of Warsaw.

4. Juliusz Jablecki & Robert Slepaczuk & Ryszard Kokoszczynski & Pawel Sakowski & Piotr Wojcik, 2014. "Does historical VIX term structure contain valuable information for predicting VIX futures?," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 14, pages 5-28.

   Cited by:

   1. Ballestra, Luca Vincenzo & Guizzardi, Andrea & Palladini, Fabio, 2019. "Forecasting and trading on the VIX futures market: A neural network approach based on open to close returns and coincident indicators," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1250-1262.
   2. Julián Andrada-Félix & Adrian Fernandez-Perez & Fernando Fernández-Rodríguez & Simón Sosvilla-Rivero, 2022. "Time connectedness of fear," Empirical Economics, Springer, vol. 62(3), pages 905-931, March.
      • Julián Andrada-Félixa & Adrian Fernandez-Perez & Fernando Fernández-Rodríguez & Simón Sosvilla-Rivero, 2018. "“Time connectedness of fear”," IREA Working Papers 201818, University of Barcelona, Research Institute of Applied Economics, revised Sep 2018.

5. Paweł Durjasz & Ryszard Kokoszczyński, 1998. "Financial Inflows to Poland, 1990–96," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 25(2), pages 217-242, January.

   Cited by:

   1. Heather D. Gibson & Euclid Tsakalotos, 2005. "EU Enlargement, ERM II and Lessons from the Southern European countries," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 3(1), pages 41-78.

Chapters

1. Ryszard Kokoszczynski, 2001. "Structural changes in the Polish banking industry - three dimensions of consolidation processes in an emerging economy," BIS Papers chapters, in: Bank for International Settlements (ed.), The banking industry in the emerging market economies: competition, consolidation and systemic stability, volume 4, pages 118-122, Bank for International Settlements.

   Cited by:

   1. Olena Havrylchyk, 2004. "Consolidation of the Polish banking sector: consequences for the banking institutions and the public," Post-Print hal-03202005, HAL.
      • Olena Havrylchyk, 2004. "Consolidation of the Polish banking sector: consequences for the banking institutions and the public," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03202005, HAL.
      • Havrylchyk, Olena, 2004. "Consolidation of the Polish banking sector: consequences for the banking institutions and the public," Economic Systems, Elsevier, vol. 28(2), pages 125-140, June.
   2. Árvai, Zsófia, 2002. "A banki közvetítés mélysége [The depth of bank mediation]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 621-640.

Books

1. Itai Agur & Carola Binder & Cristina Bodea & Claudio Borio & Italo Colantone & Ana Carolina Garriga & Federico Favaretto & Stefan Gerlach & Ernest Gnan & Ryszard Kokoszczynski & Masaaki Higashijima & , 2020. "Populism, Economic Policies and Central Banking," SUERF Studies, SUERF - The European Money and Finance Forum, number 2020/1 edited by Ernest Gnan and Donato Masciandaro, May.

   Cited by:

   1. Ferrari, Alessandro & Landi, Valerio Nispi, 2023. "Toward a green economy: the role of central bank’s asset purchases," Working Paper Series 2779, European Central Bank.
      • Alessandro Ferrari & Valerio Nispi Landi, 2023. "Toward a Green Economy: The Role of the Central Bank’s Asset Purchases," International Journal of Central Banking, International Journal of Central Banking, vol. 19(5), pages 287-340, December.
      • Alessandro Ferrari & Valerio Nispi Landi, 2022. "Toward a green economy: the role of central bank's asset purchases," Temi di discussione (Economic working papers) 1358, Bank of Italy, Economic Research and International Relations Area.
   2. Elsayed, Ahmed H. & Nasir, Muhammad Ali, 2022. "Central bank digital currencies: An agenda for future research," Research in International Business and Finance, Elsevier, vol. 62(C).

2. Marek Belka & Jens Thomsen & Kim Abildgren & Pietro Catte & Pietro Cova & Patrizio Pagano & Ignazio Visco & Petar Chobanov & Amine Lahiani & Nikolay Nenovsky & Cristina Badarau & Grégory Levieuge & To, 2011. "Monetary Policy after the Crisis," SUERF Studies, SUERF - The European Money and Finance Forum, number 2011/3 edited by Ernest Gnan, & Ryszard Kokoszczynski & Tomasz Lyziak & Robert McCauley, May.

   Cited by:

   1. Raoul Lättemäe, 2001. "Monetary transmission mechanism in Estonia - some theorethical considerations and stylized aspects," Bank of Estonia Working Papers 2001-4, Bank of Estonia, revised 13 Oct 2001.
      • Raoul Lättemäe, 2002. "Monetary Transmission Mechanism in Estonia - Some Theoretical Considerations and Stylized Aspects," Macroeconomics 0212001, University Library of Munich, Germany.
   2. Tomasz Łyziak, 2013. "A note on central bank transparency and credibility in Poland," NBP Working Papers 162, Narodowy Bank Polski.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Rankings

This author is among the top 5% authors according to these criteria:

1. Betweenness measure in co-authorship network

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 9 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.

1. NEP-IUE: Informal and Underground Economics (4) 2017-07-09 2017-07-16 2018-04-30 2020-09-28
2. NEP-MAC: Macroeconomics (4) 2017-07-09 2017-07-16 2018-04-30 2020-09-28
3. NEP-PBE: Public Economics (4) 2017-07-09 2017-07-16 2018-04-30 2020-09-28
4. NEP-RMG: Risk Management (4) 2010-12-18 2014-07-13 2014-10-22 2014-11-07
5. NEP-DGE: Dynamic General Equilibrium (3) 2017-07-09 2017-07-16 2020-09-28
6. NEP-MST: Market Microstructure (2) 2010-12-04 2010-12-18
7. NEP-PUB: Public Finance (2) 2017-07-09 2018-04-30
8. NEP-ACC: Accounting and Auditing (1) 2018-04-30
9. NEP-CFN: Corporate Finance (1) 2018-04-30
10. NEP-EEC: European Economics (1) 2017-07-16
11. NEP-FOR: Forecasting (1) 2014-07-13
12. NEP-LAB: Labour Economics (1) 2020-09-28

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Ryszard Kokoszczynski
(Ryszard Kokoszczynski) should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.