Peter N. Posch

Personal Details

First Name:	Peter
Middle Name:	N.
Last Name:	Posch
Suffix:
RePEc Short-ID:	ppo52
	[This author has chosen not to make the email address public]
	http://www.posch.net
	Chair of Finance Faculty of Business Administration and Economics TU Dortmund University Otto Hahn Str. 6 D- 44227 Dortmund
	+49-231-755-3273

Affiliation

Wirtschaftswissenschaftliche Fakultät
Technische Universität Dortmund

Dortmund, Germany
https://www.wiwi.tu-dortmund.de/
RePEc:edi:wftudde (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. Posch, Peter N & Kalteier, Eva-Maria, 2013. "Sovereign Asset Values and Implications for the Credit Market," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79986, Verein für Socialpolitik / German Economic Association.
   • Eva‐Maria Kalteier & Peter N. Posch, 2013. "Sovereign asset values and implications for the credit market," Review of Financial Economics, John Wiley & Sons, vol. 22(2), pages 53-60, April.
   • Kalteier, Eva-Maria & Posch, Peter N., 2013. "Sovereign asset values and implications for the credit market," Review of Financial Economics, Elsevier, vol. 22(2), pages 53-60.

   Cited by:

   1. Posch, Peter N & Bowden, Roger J & Kalteier, Eva-Maria, 2014. "The financial economics of sovereign asset value: functional perspectives and market outcomes," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100439, Verein für Socialpolitik / German Economic Association.

2. Löffler, Gunter & Posch, Peter N., 2007. "How do rating agencies score in predicting firm performance," SFB 649 Discussion Papers 2007-043, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

   Cited by:

   1. Perederiy, Volodymyr, 2007. "Kombinierte Liquiditäts- und Solvenzkennzahlen und ein darauf basierendes Insolvenzprognosemodell für deutsche GmbHs," SFB 649 Discussion Papers 2007-060, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

3. Posch Peter N. & Loeffler Gunter & Schoene Christiane, 2005. "Bayesian Methods for Improving Credit Scoring Models," Finance 0505024, University Library of Munich, Germany.

   Cited by:

   1. Mestiri, Sami & Farhat, Abdejelil, 2018. "Credit Risk Prediction based on Bayesian estimation of logistic regression model with random effects," MPRA Paper 119960, University Library of Munich, Germany.

Articles

1. Nils Engelhardt & Miguel Krause & Daniel Neukirchen & Peter Posch, 2020. "What Drives Stocks during the Corona-Crash? News Attention vs. Rational Expectation," Sustainability, MDPI, vol. 12(12), pages 1-12, June.

   Cited by:

   1. Katarzyna Czech & Michał Wielechowski & Pavel Kotyza & Irena Benešová & Adriana Laputková, 2020. "Shaking Stability: COVID-19 Impact on the Visegrad Group Countries’ Financial Markets," Sustainability, MDPI, vol. 12(15), pages 1-19, August.
   2. Christos A. Kontovas & Krishna Sooprayen, 2020. "Maritime Cargo Prioritisation during a Prolonged Pandemic Lockdown Using an Integrated TOPSIS-Knapsack Technique: A Case Study on Small Island Developing States—The Rodrigues Island," Sustainability, MDPI, vol. 12(19), pages 1-20, September.
   3. Baris Kocaarslan & Ugur Soytas, 2021. "The Asymmetric Impact of Funding Liquidity Risk on the Volatility of Stock Portfolios during the COVID-19 Crisis," Sustainability, MDPI, vol. 13(4), pages 1-12, February.
   4. Hoppe, Heiko, 2022. "The Impact of COVID-19 Policy Measures on European Companies – Empirical Evidence from Belgium, The Netherlands, Denmark and Norway," Junior Management Science (JUMS), Junior Management Science e. V., vol. 7(2), pages 267-288.
   5. Neukirchen, Daniel & Engelhardt, Nils & Krause, Miguel & Posch, Peter N., 2023. "The value of (private) investor relations during the COVID-19 crisis," Journal of Banking & Finance, Elsevier, vol. 147(C).
   6. Srilakshminarayana G, 2021. "Tail Behaviour of the Nifty-50 Stocks during Crises Periods," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 115-151, December.
   7. Al-Maadid, Alanoud & Alhazbi, Saleh & Al-Thelaya, Khaled, 2022. "Using machine learning to analyze the impact of coronavirus pandemic news on the stock markets in GCC countries," Research in International Business and Finance, Elsevier, vol. 61(C).
   8. Christian Beer & Janine Maniora & Christiane Pott, 2023. "COVID-19 pandemic and capital markets: the role of government responses," Journal of Business Economics, Springer, vol. 93(1), pages 11-57, January.
   9. Engelhardt, Nils & Krause, Miguel & Neukirchen, Daniel & Posch, Peter N., 2021. "Trust and stock market volatility during the COVID-19 crisis," Finance Research Letters, Elsevier, vol. 38(C).
   10. Helen Chiappini & Gianfranco Vento & Leonardo De Palma, 2021. "The Impact of COVID-19 Lockdowns on Sustainable Indexes," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
   11. Nils Engelhardt & Jens Ekkenga & Peter Posch, 2021. "ESG Ratings and Stock Performance during the COVID-19 Crisis," Sustainability, MDPI, vol. 13(13), pages 1-15, June.
   12. Neukirchen, Daniel & Engelhardt, Nils & Krause, Miguel & Posch, Peter N., 2022. "Firm efficiency and stock returns during the COVID-19 crisis," Finance Research Letters, Elsevier, vol. 44(C).
   13. Amina Malik & Babar Zaheer Butt & Haroon Aziz, 2022. "COVID-19 Entwined the Dynamic Relationship between Stock Returns and Macroeconomic Variables," Information Management and Business Review, AMH International, vol. 13(4), pages 11-22.
   14. Junjian Gu, 2020. "Risk Assessment on Continued Public Health Threats: Evidence from China’s Stock Market," IJERPH, MDPI, vol. 17(20), pages 1-30, October.
   15. Calabrò, Andrea & Frank, Hermann & Minichilli, Alessandro & Suess-Reyes, Julia, 2021. "Business families in times of crises: The backbone of family firm resilience and continuity," Journal of Family Business Strategy, Elsevier, vol. 12(2).

2. Hagen Rafeld & Sebastian G. Fritz-Morgenthal & Peter N. Posch, 2020. "Whale Watching on the Trading Floor: Unravelling Collusive Rogue Trading in Banks," Journal of Business Ethics, Springer, vol. 165(4), pages 633-657, September.

   Cited by:

   1. Ouriemmi, Oussama & Gérard, Benoît, 2023. "Control dynamics in rogue trading: Sovereignty and exception-to-the-rule attitudes in the contemporary financial sphere," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 91(C).

3. Köchling, Gerrit & Schmidtke, Philipp & Posch, Peter N., 2020. "Volatility forecasting accuracy for Bitcoin," Economics Letters, Elsevier, vol. 191(C).

   Cited by:

   1. Monika Eisenbardt & Tomasz Eisenbardt, 2023. "Can Cryptocurrencies Be Feasibly Adopted as a National Currency? The Perspective of the Younger Generation," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 463-481.
   2. Ishtiaq Ahmad Bajwa & Shafiq Ur Rehman & Abid Iqbal & Zaheer Anwer & Murtaza Ashiq & Muhammad Ajmal Khan, 2022. "Past, Present and Future of FinTech Research: A Bibliometric Analysis," SAGE Open, , vol. 12(4), pages 21582440221, October.
   3. Emon Kalyan Chowdhury & Mohammad Nayeem Abdullah, 2024. "Gauging Demand for Cryptocurrency over the Economic Policy Uncertainty and Stock Market Volatility," Computational Economics, Springer;Society for Computational Economics, vol. 64(1), pages 37-55, July.
   4. Bergsli, Lykke Øverland & Lind, Andrea Falk & Molnár, Peter & Polasik, Michał, 2022. "Forecasting volatility of Bitcoin," Research in International Business and Finance, Elsevier, vol. 59(C).
   5. Biswas, Priti & Jain, Prachi & Maitra, Debasish, 2024. "Are shocks in the stock markets driven by commodity markets? Evidence from Russia-Ukraine war," Journal of Commodity Markets, Elsevier, vol. 34(C).
   6. Jiqian Wang & Feng Ma & Elie Bouri & Yangli Guo, 2023. "Which factors drive Bitcoin volatility: Macroeconomic, technical, or both?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 970-988, July.
   7. Walid Chkili, 2021. "Modeling Bitcoin price volatility: long memory vs Markov switching," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(3), pages 433-448, September.
   8. Skander Slim & Ibrahim Tabche & Yosra Koubaa & Mohamed Osman & Andreas Karathanasopoulos, 2023. "Forecasting realized volatility of Bitcoin: The informative role of price duration," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1909-1929, November.
   9. Yaojie Zhang & Mengxi He & Danyan Wen & Yudong Wang, 2022. "Forecasting Bitcoin volatility: A new insight from the threshold regression model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 633-652, April.
   10. Yin, Libo & Nie, Jing & Han, Liyan, 2021. "Understanding cryptocurrency volatility: The role of oil market shocks," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 233-253.
   11. Cheng, Jiyang & Tiwari, Sunil & Khaled, Djebbouri & Mahendru, Mandeep & Shahzad, Umer, 2024. "Forecasting Bitcoin prices using artificial intelligence: Combination of ML, SARIMA, and Facebook Prophet models," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
   12. Fang, Tong & Su, Zhi & Yin, Libo, 2020. "Economic fundamentals or investor perceptions? The role of uncertainty in predicting long-term cryptocurrency volatility," International Review of Financial Analysis, Elsevier, vol. 71(C).
   13. Delia-Elena Diaconaşu & Seyed Mehdian & Ovidiu Stoica, 2022. "An analysis of investors’ behavior in Bitcoin market," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-18, March.
   14. Wang, Weichen & An, Ran & Zhu, Ziwei, 2024. "Volatility prediction comparison via robust volatility proxies: An empirical deviation perspective," Journal of Econometrics, Elsevier, vol. 239(2).
   15. José Almeida & Tiago Cruz Gonçalves, 2022. "A Systematic Literature Review of Volatility and Risk Management on Cryptocurrency Investment: A Methodological Point of View," Risks, MDPI, vol. 10(5), pages 1-18, May.
   16. Wu, Xinyu & Yin, Xuebao & Umar, Zaghum & Iqbal, Najaf, 2023. "Volatility forecasting in the Bitcoin market: A new proposed measure based on the VS-ACARR approach," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
   17. Klender Cortez & Martha del Pilar Rodríguez-García & Samuel Mongrut, 2020. "Exchange Market Liquidity Prediction with the K-Nearest Neighbor Approach: Crypto vs. Fiat Currencies," Mathematics, MDPI, vol. 9(1), pages 1-15, December.
   18. Huang, Yirong & Luo, Yi, 2024. "Forecasting conditional volatility based on hybrid GARCH-type models with long memory, regime switching, leverage effect and heavy-tail: Further evidence from equity market," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
   19. Shalini Sharma & Angshul Majumdar & Emilie Chouzenoux & Victor Elvira, 2023. "Deep State-Space Model for Predicting Cryptocurrency Price," Papers 2311.14731, arXiv.org.
   20. Zhang, Chuanhai & Ma, Huan & Arkorful, Gideon Bruce & Peng, Zhe, 2023. "The impacts of futures trading on volatility and volatility asymmetry of Bitcoin returns," International Review of Financial Analysis, Elsevier, vol. 86(C).

4. Peter N. Posch & Daniel Ullmann & Dominik Wied, 2019. "Detecting structural changes in large portfolios," Empirical Economics, Springer, vol. 56(4), pages 1341-1357, April.

   Cited by:

   1. Ji-Eun Choi & Dong Wan Shin, 2021. "A self-normalization break test for correlation matrix," Statistical Papers, Springer, vol. 62(5), pages 2333-2353, October.
   2. Florian Stark & Sven Otto, 2020. "Testing and Dating Structural Changes in Copula-based Dependence Measures," Papers 2011.05036, arXiv.org.

5. Köchling, Gerrit & Müller, Janis & Posch, Peter N., 2019. "Does the introduction of futures improve the efficiency of Bitcoin?," Finance Research Letters, Elsevier, vol. 30(C), pages 367-370.

   Cited by:

   1. Fantazzini, Dean, 2022. "Crypto Coins and Credit Risk: Modelling and Forecasting their Probability of Death," MPRA Paper 113744, University Library of Munich, Germany.
      • Dean Fantazzini, 2022. "Crypto-Coins and Credit Risk: Modelling and Forecasting Their Probability of Death," JRFM, MDPI, vol. 15(7), pages 1-34, July.
   2. Carl Luft & Jin Man Lee & Jin W. Choi, 2019. "“Chicago Mercantile Exchange Bitcoin Futures: Volatility, Liquidity and Margin”," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 69(3), pages 55-74, July-Sept.
   3. Haffar, Adlane & Le Fur, Éric, 2022. "Time-varying dependence of Bitcoin," The Quarterly Review of Economics and Finance, Elsevier, vol. 86(C), pages 211-220.
   4. Jareño, Francisco & González, María de la O & Tolentino, Marta & Sierra, Karen, 2020. "Bitcoin and gold price returns: A quantile regression and NARDL analysis," Resources Policy, Elsevier, vol. 67(C).
   5. Karimi, Parinaz & Mirzaee Ghazani, Majid & Ebrahimi, Seyed Babak, 2023. "Analyzing spillover effects of selected cryptocurrencies on gold and brent crude oil under COVID-19 pandemic: Evidence from GJR-GARCH and EVT copula methods," Resources Policy, Elsevier, vol. 85(PB).
   6. Fantazzini, Dean & Kolodin, Nikita, 2020. "Does the hashrate affect the bitcoin price?," MPRA Paper 103812, University Library of Munich, Germany.
      • Dean Fantazzini & Nikita Kolodin, 2020. "Does the Hashrate Affect the Bitcoin Price?," JRFM, MDPI, vol. 13(11), pages 1-29, October.
   7. Wang, Qiyu & Chong, Terence Tai-Leung, 2021. "Factor pricing of cryptocurrencies," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
   8. Haffar, Adlane & Le Fur, Eric, 2021. "Structural vector error correction modelling of Bitcoin price," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 170-178.
   9. Ruan, Qingsong & Meng, Lu & Lv, Dayong, 2021. "Effect of introducing Bitcoin futures on the underlying Bitcoin market efficiency: A multifractal analysis," Chaos, Solitons & Fractals, Elsevier, vol. 153(P1).
   10. Zhang, Chuanhai & Ma, Huan & Liao, Xiaosai, 2023. "Futures trading activity and the jump risk of spot market: Evidence from the bitcoin market," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).
   11. Blau, Benjamin M. & Griffith, Todd G. & Whitby, Ryan J., 2021. "Inflation and Bitcoin: A descriptive time-series analysis," Economics Letters, Elsevier, vol. 203(C).
   12. Oliver Entrop & Bart Frijns & Marco Seruset, 2020. "The determinants of price discovery on bitcoin markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(5), pages 816-837, May.
   13. Apostolakis, George N., 2024. "Bitcoin price volatility transmission between spot and futures markets," International Review of Financial Analysis, Elsevier, vol. 94(C).
   14. Jun Deng & Huifeng Pan & Shuyu Zhang & Bin Zou, 2021. "Optimal Bitcoin trading with inverse futures," Annals of Operations Research, Springer, vol. 304(1), pages 139-163, September.
   15. Roman Matkovskyy & Akanksha Jalan, 2019. "From financial markets to Bitcoin markets: A fresh look at the contagion effect," Post-Print hal-02131637, HAL.
       • Matkovskyy, Roman & Jalan, Akanksha, 2019. "From financial markets to Bitcoin markets: A fresh look at the contagion effect," Finance Research Letters, Elsevier, vol. 31(C), pages 93-97.
   16. Smales, L.A., 2022. "Investor attention in cryptocurrency markets," International Review of Financial Analysis, Elsevier, vol. 79(C).
   17. Natália Costa & César Silva & Paulo Ferreira, 2019. "Long-Range Behaviour and Correlation in DFA and DCCA Analysis of Cryptocurrencies," IJFS, MDPI, vol. 7(3), pages 1-12, September.
   18. Ailie Charteris & Conrad Alexander Steyn, 2023. "The Bank of Japan’s exchange traded fund purchases: a help or hindrance to market efficiency?," Journal of Asset Management, Palgrave Macmillan, vol. 24(3), pages 225-240, May.
   19. Yi, Eojin & Ahn, Kwangwon & Choi, M.Y., 2022. "Cryptocurrency: Not far from equilibrium," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
   20. Shimeng Shi & Jia Zhai & Yingying Wu, 2024. "Informational inefficiency on bitcoin futures," The European Journal of Finance, Taylor & Francis Journals, vol. 30(6), pages 642-667, April.
   21. 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.
   22. Dirk G. Baur & Lee A. Smales, 2022. "Trading behavior in bitcoin futures: Following the “smart money”," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(7), pages 1304-1323, July.
   23. Arun Narayanasamy & Humnath Panta & Rohit Agarwal, 2023. "Relations among Bitcoin Futures, Bitcoin Spot, Investor Attention, and Sentiment," JRFM, MDPI, vol. 16(11), pages 1-24, November.
   24. Abdulnasser Hatemi-J, 2024. "Testing for the Asymmetric Optimal Hedge Ratios: With an Application to Bitcoin," Papers 2407.19932, arXiv.org, revised Aug 2024.
   25. Hung, Jui-Cheng & Liu, Hung-Chun & Yang, J. Jimmy, 2021. "Trading activity and price discovery in Bitcoin futures markets," Journal of Empirical Finance, Elsevier, vol. 62(C), pages 107-120.
   26. Yang, Zixiu & Fantazzini, Dean, 2022. "Using crypto assets pricing methods to build technical oscillators for short-term bitcoin trading," MPRA Paper 115508, University Library of Munich, Germany.
   27. Nikolaos A. Kyriazis, 2019. "A Survey on Efficiency and Profitable Trading Opportunities in Cryptocurrency Markets," JRFM, MDPI, vol. 12(2), pages 1-17, April.
   28. Carmen López-Martín & Sonia Benito Muela & Raquel Arguedas, 2021. "Efficiency in cryptocurrency markets: new evidence," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(3), pages 403-431, September.
   29. Shimeng Shi & Yukun Shi, 2021. "Bitcoin futures: trade it or ban it?," The European Journal of Finance, Taylor & Francis Journals, vol. 27(4-5), pages 381-396, March.
   30. Vidal-Tomás, David, 2022. "Which cryptocurrency data sources should scholars use?," International Review of Financial Analysis, Elsevier, vol. 81(C).
   31. Kao, Yu-Sheng & Day, Min-Yuh & Chou, Ke-Hsin, 2024. "A comparison of bitcoin futures return and return volatility based on news sentiment contemporaneously or lead-lag," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
   32. David Vidal-Tomás & Ana M. Ibáñez & José E. Farinós, 2021. "The Effect of the Launch of Bitcoin Futures on the Cryptocurrency Market: An Economic Efficiency Approach," Mathematics, MDPI, vol. 9(4), pages 1-14, February.
   33. Hattori, Takahiro & Ishida, Ryo, 2021. "Did the introduction of Bitcoin futures crash the Bitcoin market at the end of 2017?," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
   34. Strych, Jan-Oliver, 2022. "The impact of margin trading and short selling by retail investors on market price efficiency: Empirical evidence from bitcoin exchanges," Finance Research Letters, Elsevier, vol. 47(PB).
   35. Lin, Chiao-Han & Yen, Kuang-Chieh & Cheng, Hui-Pei, 2021. "Lottery-like momentum in the cryptocurrency market," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
   36. Zhang, Chuanhai & Chen, Haicui & Peng, Zhe, 2022. "Does Bitcoin futures trading reduce the normal and jump volatility in the spot market? Evidence from GARCH-jump models," Finance Research Letters, Elsevier, vol. 47(PB).
   37. Lee, Seungho & Meslmani, Nabil El & Switzer, Lorne N., 2020. "Pricing Efficiency and Arbitrage in the Bitcoin Spot and Futures Markets," Research in International Business and Finance, Elsevier, vol. 53(C).
   38. Zhang, Chuanhai & Ma, Huan & Arkorful, Gideon Bruce & Peng, Zhe, 2023. "The impacts of futures trading on volatility and volatility asymmetry of Bitcoin returns," International Review of Financial Analysis, Elsevier, vol. 86(C).

6. Köchling, Gerrit & Müller, Janis & Posch, Peter N., 2019. "Price delay and market frictions in cryptocurrency markets," Economics Letters, Elsevier, vol. 174(C), pages 39-41.

   Cited by:

   1. Moreno, David & Antoli, Marcos & Quintana, David, 2022. "Benefits of investing in cryptocurrencies when liquidity is a factor," Research in International Business and Finance, Elsevier, vol. 63(C).
   2. María de la O González & Francisco Jareño & Frank S. Skinner, 2020. "Nonlinear Autoregressive Distributed Lag Approach: An Application on the Connectedness between Bitcoin Returns and the Other Ten Most Relevant Cryptocurrency Returns," Mathematics, MDPI, vol. 8(5), pages 1-22, May.
   3. Aslan, Aylin & Sensoy, Ahmet, 2020. "Intraday efficiency-frequency nexus in the cryptocurrency markets," Finance Research Letters, Elsevier, vol. 35(C).
   4. Daniel Modenesi de Andrade & Fernando Barros Jr & Fabio Yoshio Motoki & Matheus Oliveira da Silva, 2021. "Price dynamics of cryptocurrencies in parallel markets: evidence from Bitcoin exchanges in Brazil," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 38(5), pages 1040-1053, August.
   5. Ko, Hyungjin & Son, Bumho & Lee, Jaewook, 2024. "Portfolio insurance strategy in the cryptocurrency market," Research in International Business and Finance, Elsevier, vol. 67(PA).
   6. 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.
   7. Derick Quintino & Jessica Campoli & Heloisa Burnquist & Paulo Ferreira, 2020. "Efficiency of the Brazilian Bitcoin: A DFA Approach," IJFS, MDPI, vol. 8(2), pages 1-9, April.
   8. Nikolaos A. Kyriazis, 2019. "A Survey on Efficiency and Profitable Trading Opportunities in Cryptocurrency Markets," JRFM, MDPI, vol. 12(2), pages 1-17, April.
   9. Sonia Arsi & Soumaya Ben Khelifa & Yosra Ghabri & Hela Mzoughi, 2021. "Cryptocurrencies: Key Risks and Challenges," World Scientific Book Chapters, in: Stéphane Goutte & Khaled Guesmi & Samir Saadi (ed.), Cryptofinance A New Currency for a New Economy, chapter 7, pages 121-145, World Scientific Publishing Co. Pte. Ltd..
   10. Duan, Huiming & Liu, Yunmei & Wang, Guan, 2022. "A novel dynamic time-delay grey model of energy prices and its application in crude oil price forecasting," Energy, Elsevier, vol. 251(C).

7. Alexander Bergmann & Peter Posch, 2018. "Mandatory Sustainability Reporting in Germany: Does Size Matter?," Sustainability, MDPI, vol. 10(11), pages 1-20, October.

   Cited by:

   1. Anna Kwiotkowska & Magdalena Gebczynska, 2021. "Causal Pathways of Innovation Orientation, Sustainability, Leadership and Social Performance," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 32-54.
   2. Sujatha Ravinarayana Bhat & Mohd Asrul Affendi Abdullah, 2023. "Factors Influencing Sustainability Reporting Practices among Listed Companies in Oman," International Journal of Economics and Financial Issues, Econjournals, vol. 13(3), pages 74-83, May.
   3. Giorgio Mion & Cristian R. Loza Adaui, 2019. "Mandatory Nonfinancial Disclosure and Its Consequences on the Sustainability Reporting Quality of Italian and German Companies," Sustainability, MDPI, vol. 11(17), pages 1-28, August.
   4. Yongan Zhang & Umair Khan & Seoyeon Lee & Madiha Salik, 2019. "The Influence of Management Innovation and Technological Innovation on Organization Performance. A Mediating Role of Sustainability," Sustainability, MDPI, vol. 11(2), pages 1-21, January.
   5. Salvatore Loprevite & Domenico Raucci & Daniela Rupo, 2020. "KPIs Reporting and Financial Performance in the Transition to Mandatory Disclosure: The Case of Italy," Sustainability, MDPI, vol. 12(12), pages 1-24, June.
   6. Ozili, Peterson K, 2023. "Earnings management for sustainability: the surplus income model of sustainable development," MPRA Paper 118803, University Library of Munich, Germany.
   7. Sylvia Gonzalez-Gorman & Sung-Wook Kwon & Dennis Patterson, 2019. "Municipal Efforts to Reduce Greenhouse Gas Emissions: Evidence from U.S. Cities on the U.S.-Mexico Border," Sustainability, MDPI, vol. 11(17), pages 1-19, August.

8. Mayordomo, Sergio & Posch, Peter N., 2016. "Does central clearing benefit risky dealers?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 42(C), pages 91-100.

   Cited by:

   1. Gregor Helmut Schoenemann, 2022. "The man in the middle—liquidity provision under central clearing in the credit default swap market: A regression discontinuity approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(3), pages 446-471, March.
   2. Bellia, Mario & Panzica, Roberto & Pelizzon, Loriana & Peltonen, Tuomas A., 2017. "The demand for central clearing: to clear or not to clear, that is the question," ESRB Working Paper Series 62, European Systemic Risk Board.
      • Bellia, Mario & Girardi, Giulio & Panzica, Roberto Calogero & Pelizzon, Loriana & Peltonen, Tuomo, 2022. "The demand for central clearing: To clear or not to clear, that is the question," SAFE Working Paper Series 193, Leibniz Institute for Financial Research SAFE, revised 2022.
      • Bellia, Mario & Girardi, Giulio & Panzica, Roberto & Pelizzon, Loriana & Peltonen, Tuomas, 2024. "The demand for central clearing: To clear or not to clear, that is the question!," Journal of Financial Stability, Elsevier, vol. 72(C).
   3. Benjamin Hippert & André Uhde & Sascha Tobias Wengerek, 2019. "Portfolio benefits of adding corporate credit default swap indices: evidence from North America and Europe," Review of Derivatives Research, Springer, vol. 22(2), pages 203-259, July.

9. Lübbers, Johannes & Posch, Peter N., 2016. "Commodities' common factor: An empirical assessment of the markets' drivers," Journal of Commodity Markets, Elsevier, vol. 4(1), pages 28-40.

   Cited by:

   1. Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
      • Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
   2. Santeramo, Fabio Gaetano & Lamonaca, Emilia & Contò, Francesco & Stasi, Antonio & Nardone, Gianluca, 2017. "Drivers of grain price volatility: a cursory critical review," MPRA Paper 79427, University Library of Munich, Germany.
      • Fabio Gaetano Santeramo & Emilia Lamonaca & Francesco Contò & Gianluca Nardone & Antonio Stasi, 2018. "Drivers of grain price volatility: a cursory critical review," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 64(8), pages 347-356.
   3. Drachal, Krzysztof, 2019. "Forecasting prices of selected metals with Bayesian data-rich models," Resources Policy, Elsevier, vol. 64(C).
   4. Cortazar, Gonzalo & Ortega, Hector & Rojas, Maximiliano & Schwartz, Eduardo S., 2021. "Commodity index risk premium," Journal of Commodity Markets, Elsevier, vol. 22(C).
   5. Meng Han, 2023. "Commodity momentum and reversal: Do they exist, and if so, why?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(9), pages 1204-1237, September.
   6. Tang, Yusui & Zhong, Juandan, 2023. "Predicting gold volatility: Exploring the impact of extreme risk in the international commodity market," Finance Research Letters, Elsevier, vol. 58(PB).

10. Löffler, Gunter & Posch, Peter N, 2013. "Wall Street’s bailout bet: Market reactions to house price releases in the presence of bailout expectations," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5147-5158.

    Cited by:

    1. Rafiq, Shuddhasattwa, 2022. "How did house and stock prices respond to different crisis episodes since the 1870s?," Economic Modelling, Elsevier, vol. 114(C).
    2. Reinhart, Carmen & Rogoff, Kenneth, 2008. "¿Es tan diferente la crisis financiera de sub-prime en EEUU? Una comparacion historica internacional [“Is The 2007 U.S. Subprime Crisis So Different? An International Historical Comparison,”]," MPRA Paper 13656, University Library of Munich, Germany.
       • Reinhart, Carmen M. & Rogoff, Kenneth S., 2008. "Is the 2007 US Sub-Prime Financial Crisis So Different? An International Historical Comparison," Scholarly Articles 11129156, Harvard University Department of Economics.
       • Carmen M. Reinhart & Kenneth S. Rogoff, 2008. "Is the 2007 US Sub-prime Financial Crisis So Different? An International Historical Comparison," American Economic Review, American Economic Association, vol. 98(2), pages 339-344, May.
       • Carmen M. Reinhart & Kenneth S. Rogoff, 2008. "Is the 2007 U.S. Sub-Prime Financial Crisis So Different? An International Historical Comparison," NBER Working Papers 13761, National Bureau of Economic Research, Inc.
    3. Carmen M. Reinhart & Kenneth S. Rogoff, 2009. "Is the 2007 US Sub-Prime Financial Crisis So Different?: An International Historical Comparison," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 56(3), pages 291-299.
       • Reinhart, Carmen M. & Rogoff, Kenneth S., 2008. "Is the 2007 US Sub-Prime Financial Crisis So Different? An International Historical Comparison," Scholarly Articles 11129156, Harvard University Department of Economics.
       • Carmen M. Reinhart & Kenneth S. Rogoff, 2008. "Is the 2007 US Sub-prime Financial Crisis So Different? An International Historical Comparison," American Economic Review, American Economic Association, vol. 98(2), pages 339-344, May.
       • Carmen M. Reinhart & Kenneth S. Rogoff, 2008. "Is the 2007 U.S. Sub-Prime Financial Crisis So Different? An International Historical Comparison," NBER Working Papers 13761, National Bureau of Economic Research, Inc.
    4. Birz, Gene, 2017. "Stale economic news, media and the stock market," Journal of Economic Psychology, Elsevier, vol. 61(C), pages 87-102.

11. Kalteier, Eva-Maria & Posch, Peter N., 2013. "Sovereign asset values and implications for the credit market," Review of Financial Economics, Elsevier, vol. 22(2), pages 53-60.
    • Eva‐Maria Kalteier & Peter N. Posch, 2013. "Sovereign asset values and implications for the credit market," Review of Financial Economics, John Wiley & Sons, vol. 22(2), pages 53-60, April.
    • Posch, Peter N & Kalteier, Eva-Maria, 2013. "Sovereign Asset Values and Implications for the Credit Market," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79986, Verein für Socialpolitik / German Economic Association.
    See citations under working paper version above.
12. Posch, Peter N., 2011. "Time to change. Rating changes and policy implications," Journal of Economic Behavior & Organization, Elsevier, vol. 80(3), pages 641-656.

    Cited by:

    1. Bannier, Christina E., 2007. "Smoothing versus timeliness - wann sind stabile Ratings optimal und welche Anforderungen sind an optimale Berichtsregeln zu stellen?," Frankfurt School - Working Paper Series 84, Frankfurt School of Finance and Management.
    2. Andres, Christian & Betzer, André & Doumet, Markus, 2021. "Measuring changes in credit risk: The case of CDS event studies," Global Finance Journal, Elsevier, vol. 49(C).
    3. Agnello, Luca & Castro, Vítor & Sousa, Ricardo M., 2021. "On the duration of sovereign ratings cycle phases," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 512-526.

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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 3 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-BEC: Business Economics (1) 2007-08-08
2. NEP-CMP: Computational Economics (1) 2005-06-05
3. NEP-ECM: Econometrics (1) 2005-06-05
4. NEP-FIN: Finance (1) 2005-06-05
5. NEP-MAC: Macroeconomics (1) 2015-02-22

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