Computational Finance and Financial Econometrics

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

Deadline for manuscript submissions: 30 June 2024 | Viewed by 2238

Special Issue Editor


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Guest Editor
Department of Economics, University of Western Ontario, Social Science Centre Room 4071, London, ON N6A 5C2, Canada
Interests: finance; financial econometrics; computational finance; econometrics
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Special Issue Information

Dear Colleagues,

This Special Issue focuses on the intersection of Computational Finance and Financial Econometrics in today’s complex financial markets. It will include novel research on the use of computational methods and techniques for modelling financial asset prices, returns, and volatility, on the pricing, hedging, and risk management of financial instruments, and the econometric challenges faced when considering financial markets in general and the markets for derivatives in particular.

Theoretical and empirical articles dealing with the application of novel computational techniques in estimation, simulation, optimization, and calibration with applications for asset pricing, derivative valuation, hedging, and risk management are welcome. Contributions focusing on multivariate or high-dimensional applications, on the use of machine learning techniques with large financial data sets, and on applications to new asset classes such as volatility indices such as, e.g., the VIX, are encouraged.

Dr. Lars Stentoft
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

  • asset pricing models
  • calibration
  • derivatives
  • estimation
  • hedging and risk management
  • machine learning methods
  • multivariate and high-dimensional models
  • optimization
  • simulation
  • volatility models

Published Papers (1 paper)

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Research

15 pages, 1471 KiB  
Article
The Launch of a Night Trading Session and Currency Futures Market Liquidity: Evidence from the Thailand Futures Exchange
by Woradee Jongadsayakul
J. Risk Financial Manag. 2023, 16(10), 442; https://doi.org/10.3390/jrfm16100442 - 11 Oct 2023
Viewed by 1274
Abstract
The Thailand Futures Exchange launched USD Futures as the first currency futures contract on 5 June 2012. However, it has been available for night trading since 27 September 2021. This research aims to analyze the effect of adding a night trading session on [...] Read more.
The Thailand Futures Exchange launched USD Futures as the first currency futures contract on 5 June 2012. However, it has been available for night trading since 27 September 2021. This research aims to analyze the effect of adding a night trading session on USD Futures market liquidity and to make a liquidity comparison between day and night session trading. By adding a dummy variable into the vector autoregression model of order 5 to capture the effect of a night session introduction on market liquidity, the results show that market depth and breadth are even stronger after a longer trading session. In addition, the t-test results show the presence of lower tightness but stronger depth and breadth in day session trading than in night session trading, because of the availability of a large number of orders and the ability of the market to have smoother trading in day as opposed to night. Due to the positive effect of extended trading hours on market depth and breadth, TFEX should consider a longer night session in line with other global futures markets. Night traders should also be aware of liquidity risk due to low night session trading volume. Full article
(This article belongs to the Special Issue Computational Finance and Financial Econometrics)
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