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Arash Aloosh

Personal Details

First Name:Arash
Middle Name:
Last Name:Aloosh
Suffix:
RePEc Short-ID:pal222
[This author has chosen not to make the email address public]
Department of Financial Economics BI Norwegian Business School Room B4-057 Nydalsveien 37 N-0484 Oslo, Norway
+4746410522

Affiliation

Institutt for Finans
BI Handelshøyskolen

Oslo, Norway
http://www.bi.edu/research/research-departments/Finance/
RePEc:edi:dfebino (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Bekaert, Geert & Aloosh, Arash, 2019. "Currency Factors," CEPR Discussion Papers 13464, C.E.P.R. Discussion Papers.
  2. Aloosh, Arash, 2014. "Global Variance Risk Premium and Forex Return Predictability," MPRA Paper 59931, University Library of Munich, Germany.
  3. Arash, Aloosh, 2011. "Variance Risk Premium Differentials and Foreign Exchange Returns," MPRA Paper 40829, University Library of Munich, Germany, revised 18 Aug 2012.

Articles

  1. Aloosh, Arash & Ouzan, Samuel, 2020. "The psychology of cryptocurrency prices," Finance Research Letters, Elsevier, vol. 33(C).

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. Bekaert, Geert & Aloosh, Arash, 2019. "Currency Factors," CEPR Discussion Papers 13464, C.E.P.R. Discussion Papers.

    Cited by:

    1. Maggiori, Matteo & Lilley, Andrew & Neiman, Brent & Schreger, Jesse, 2020. "Exchange Rate Reconnect," CEPR Discussion Papers 13869, C.E.P.R. Discussion Papers.
    2. Morten Risstad & Airin Thodesen & Kristian August Thune & Sjur Westgaard, 2023. "On the Exchange Rate Dynamics of the Norwegian Krone," JRFM, MDPI, vol. 16(7), pages 1-18, June.
    3. Gradojevic, Nikola & Erdemlioglu, Deniz & Gençay, Ramazan, 2020. "A new wavelet-based ultra-high-frequency analysis of triangular currency arbitrage," Economic Modelling, Elsevier, vol. 85(C), pages 57-73.
    4. Adam Zaremba & George Kambouris, 2019. "The sources of momentum in international government bond returns," Applied Economics, Taylor & Francis Journals, vol. 51(8), pages 848-857, February.
    5. Charles W. Calomiris & Harry Mamaysky, 2019. "Monetary Policy and Exchange Rate Returns: Time-Varying Risk Regimes," NBER Working Papers 25714, National Bureau of Economic Research, Inc.
    6. Gupta, Ankit & Davis, Matthew & Kumar, Amit, 2021. "An integrated assessment framework for the decarbonization of the electricity generation sector," Applied Energy, Elsevier, vol. 288(C).
    7. Franz, Thorsten, 2020. "Central bank information shocks and exchange rates," Discussion Papers 13/2020, Deutsche Bundesbank.
    8. Bettendorf, Timo & Heinlein, Reinhold, 2019. "Connectedness between G10 currencies: Searching for the causal structure," Discussion Papers 06/2019, Deutsche Bundesbank.
    9. Dr. Fabian Fink & Dr. Lukas Frei & Dr. Oliver Gloede, 2020. "Short-term determinants of bilateral exchange rates: A decomposition model for the Swiss franc," Working Papers 2020-21, Swiss National Bank.
    10. Fredy Gamboa-Estrada & Jose Vicente Romero, 2021. "Common and idiosyncratic movements in Latin-American Exchange Rates," Borradores de Economia 1158, Banco de la Republica de Colombia.
    11. Carlo Gola & Andrea Caponera, 2019. "Policy issues on crypto-assets," LIUC Papers in Economics 2019-7, Cattaneo University (LIUC).
    12. Marinakis, Yorgos D. & White, Reilly & Walsh, Steven T., 2020. "Lotka–Volterra signals in ASEAN currency exchange rates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).

  2. Aloosh, Arash, 2014. "Global Variance Risk Premium and Forex Return Predictability," MPRA Paper 59931, University Library of Munich, Germany.

    Cited by:

    1. Haas Ornelas, José Renato, 2019. "Expected currency returns and volatility risk premia," The North American Journal of Economics and Finance, Elsevier, vol. 49(C), pages 206-234.
    2. Londono, Juan M. & Zhou, Hao, 2017. "Variance risk premiums and the forward premium puzzle," Journal of Financial Economics, Elsevier, vol. 124(2), pages 415-440.
    3. Arash Aloosh & Geert Bekaert, 2019. "Currency Factors," NBER Working Papers 25449, National Bureau of Economic Research, Inc.
    4. Suk Joon Byun & Bart Frijns & Tai‐Yong Roh, 2018. "A comprehensive look at the return predictability of variance risk premia," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(4), pages 425-445, April.

  3. Arash, Aloosh, 2011. "Variance Risk Premium Differentials and Foreign Exchange Returns," MPRA Paper 40829, University Library of Munich, Germany, revised 18 Aug 2012.

    Cited by:

    1. Londono, Juan M. & Zhou, Hao, 2017. "Variance risk premiums and the forward premium puzzle," Journal of Financial Economics, Elsevier, vol. 124(2), pages 415-440.

Articles

  1. Aloosh, Arash & Ouzan, Samuel, 2020. "The psychology of cryptocurrency prices," Finance Research Letters, Elsevier, vol. 33(C).

    Cited by:

    1. Aloosh, Arash & Ouzan, Samuel & Shahzad, Syed Jawad Hussain, 2022. "Bubbles across Meme Stocks and Cryptocurrencies," Finance Research Letters, Elsevier, vol. 49(C).
    2. Aysan, Ahmet Faruk & Polat, Ali Yavuz & Tekin, Hasan & Tunali, Ahmet Semih, 2021. "Bitcoin-specific fear sentiment and bitcoin returns in the COVID-19 outbreak," MPRA Paper 110013, University Library of Munich, Germany.
    3. Ramit Sawhney & Shivam Agarwal & Vivek Mittal & Paolo Rosso & Vikram Nanda & Sudheer Chava, 2022. "Cryptocurrency Bubble Detection: A New Stock Market Dataset, Financial Task & Hyperbolic Models," Papers 2206.06320, arXiv.org.
    4. Cahill, Daniel & G. Baur, Dirk & (Frank) Liu, Zhangxin & W. Yang, Joey, 2020. "I am a blockchain too: How does the market respond to companies’ interest in blockchain?," Journal of Banking & Finance, Elsevier, vol. 113(C).

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

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 1 paper 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-FMK: Financial Markets (1) 2014-12-08
  2. NEP-FOR: Forecasting (1) 2014-12-08
  3. NEP-RMG: Risk Management (1) 2014-12-08
  4. NEP-UPT: Utility Models and Prospect Theory (1) 2014-12-08

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