The New Econometrics of Financial Markets

A special issue of Journal of Risk and Financial Management (ISSN 1911-8074). This special issue belongs to the section "Financial Markets".

Deadline for manuscript submissions: 28 February 2025 | Viewed by 2393

Special Issue Editor


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Department of Financial and Business Systems, Lincoln University, 21 Ellesmere Junction Road, Lincoln, Christchurch 7674, New Zealand
Interests: financial econometrics; financial markets; financial technologies; sustainability
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Special Issue Information

Dear Colleagues,

The new econometrics of financial markets represents a transformative paradigm shift in the world of finance and plays a pivotal role in shaping the modern landscape of finance and investment. This interdisciplinary field utilizes advanced statistical and econometric techniques to analyze, model, and predict the behavior of financial markets, making it of paramount importance for various stakeholders, including investors, policymakers, financial institutions, and researchers. In an era characterized by increasing complexity, globalization, and technological innovation, the importance of this field cannot be overstated. 

We invite researchers, academics, practitioners, and policymakers to submit their original research contributions for our upcoming Special Issue in the Journal of Risk and Financial Management that will focus on "The New Econometrics of Financial Markets". This theme explores current innovative approaches and advanced econometric techniques for understanding and modeling the dynamic landscape of financial markets. 

This Special Issue invites submissions related (but not limited) to the following topics:

  1. High-frequency trading and market microstructure analysis;
  2. Machine learning and deep learning applications in finance;
  3. Nonlinear and nonstationary time series modeling;
  4. Cryptocurrency and blockchain economics;
  5. Behavioral finance and sentiment analysis;
  6. Risk management and value at risk (VaR) estimation;
  7. Volatility forecasting and modeling;
  8. Dynamic asset allocation and portfolio optimization;
  9. Financial networks and systemic risk analysis;
  10. Event study analysis and market impact assessment;
  11. Textual analysis and news analytics in finance;
  12. Bayesian econometrics in financial modeling;
  13. Sustainable investing;
  14. Market anomalies and quantitative trading strategies;
  15. Machine learning asset pricing.

Dr. Cuong Nguyen
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Risk and Financial Management is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • trading
  • market microstructure analysis
  • deep learning
  • time series modeling
  • cryptocurrency and blockchain
  • sentiment analysis
  • risk management
  • volatility forecasting
  • portfolio optimization
  • asset allocation
  • asset pricing
  • event study
  • textual analysis
  • Bayesian econometrics
  • market anomalies
  • sustainable investing

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Published Papers (2 papers)

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Research

26 pages, 836 KiB  
Article
The Price Formation of GCC Country iShares: The Role of Unsynchronized Trading Days between the US and the GCC Markets
by Nassar S. Al-Nassar
J. Risk Financial Manag. 2024, 17(10), 459; https://doi.org/10.3390/jrfm17100459 - 10 Oct 2024
Viewed by 421
Abstract
Some US-listed country exchange-traded funds (ETFs) suffer from chronic and meaningful mispricing in the form of premiums or discounts relative to their fundamental value despite the presence of the creation/redemption mechanism. This mispricing is mainly attributed to the staggered information flow due to [...] Read more.
Some US-listed country exchange-traded funds (ETFs) suffer from chronic and meaningful mispricing in the form of premiums or discounts relative to their fundamental value despite the presence of the creation/redemption mechanism. This mispricing is mainly attributed to the staggered information flow due to nonoverlapping time zones between the market where the ETF is listed and its underlying home market. This study provides out-of-sample evidence on the price formation of Gulf Cooperation Council (GCC) country ETFs and gauges the impact of mispricing on their underlying home markets. The GCC context is particularly insightful because these markets have nonoverlapping time zones with the US and follow distinct trading schedules. Our sample comprises daily data from three countries’ iShares that exclusively track the Qatari, Saudi, and Emirati stock markets from 17 September 2015 to 14 March 2023. The results show that GCC ETFs are driven mainly by their net asset values (NAVs), albeit imperfectly, while the S&P500 exerts a relatively mild influence on these ETFs compared to other country ETFs, as reported by prior studies. Moreover, we find that crude oil prices positively and significantly impact GCC ETFs’ pricing. When we control for unsynchronized trading days between the US and the GCC home markets, we find a structural difference between overlapping and nonoverlapping trading days. This structural difference manifests in a sluggish adjustment to correct mispricing in the ETF market on the day the home market is closed; however, other variables, including the S&P500, show no discernible difference, which refutes the overreaction explanation. This recurrent pattern is reflected in a clear day-of-the-week pattern in the price discovery these ETFs offer to their underlying home markets. Full article
(This article belongs to the Special Issue The New Econometrics of Financial Markets)
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22 pages, 1825 KiB  
Article
Valuation of Patent-Based Collaborative Synergies under Strategic Settings with Multiple Uncertainties: Rainbow Real Options Approach
by Andrejs Čirjevskis
J. Risk Financial Manag. 2024, 17(4), 157; https://doi.org/10.3390/jrfm17040157 - 13 Apr 2024
Viewed by 1324
Abstract
Recent years have seen increasing initiatives involving more applications of real options to value the strategizing process. These initiatives, referred to as Real Option Theory (ROT), imply greater inclusiveness of simple and advanced real options in strategizing processes. While substantial theoretical groundwork on [...] Read more.
Recent years have seen increasing initiatives involving more applications of real options to value the strategizing process. These initiatives, referred to as Real Option Theory (ROT), imply greater inclusiveness of simple and advanced real options in strategizing processes. While substantial theoretical groundwork on ROT has been laid in corporate finance, and both qualitative and quantitative studies on ROT in business management journals are appearing on an increasing basis, there remain significant opportunities for more research on strategic synergism in patent-based acquisitions. In this vein, the current paper aims to explore a rainbow real options application (real options that are exposed to two sources of uncertainty) to measure patent-based collaborative synergies in high-tech mergers and acquisitions. Having conducted the deviant case study of ZOOX start-up’s acquisition by Amazon.com in 2020, this paper justifies the proposition of the employability of rainbow real options for the valuation of network and relational synergies in highly risky patent-based acquisitions with multiple uncertainties. Full article
(This article belongs to the Special Issue The New Econometrics of Financial Markets)
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