Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.5
Journals
JRFM
Special Issues
Political Risk Management in Financial Markets
share announcement

Political Risk Management in 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: 31 December 2024 | Viewed by 1557

Special Issue Editor

Prof. Dr. Sebastian M. Saiegh

E-Mail Website
Guest Editor
Department of Political Science, University of California, San Diego Social Sciences Building 370, 9500 Gilman Drive, La Jolla, CA 92093, USA
Interests: comparative politics; positive political theory; political economy

Special Issue Information

Dear Colleagues,

The primary focus of this Special Issue, "Political Risk Management in Financial Markets", in the Journal of Risk and Financial Management (JFRM), is on theoretical and empirical studies that will enrich the literature on political risk management within financial markets. The aim of this Special Issue is to contribute to the advances in the theoretical and empirical understanding of how political factors (e.g. elections, policy uncertainty, and regulation) influence asset prices. We seek papers that provide valuable insights and practical implications for stakeholders, policymakers, and the public, fostering a deeper comprehension of the complexities associated with political risk in financial markets.

We welcome submissions from various disciplines, emphasizing high-quality analytical, theoretical, and empirical contributions in the following major areas: political risk assessment and measurement, the impact of political events on financial markets, strategies for managing political risk, interactions between political and economic factors, government policies and asset prices, international political risk and cross-border investments, and the role of political institutions in shaping financial markets. Authors are encouraged to explore innovative perspectives and methodologies that enhance our understanding of the intricate dynamics between politics and financial markets.

Prof. Dr. Sebastian M. Saiegh
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

  • political risk
  • asset pricing
  • financial markets
  • policy uncertainty

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

17 pages, 935 KiB  
Article
Analyzing the Selective Stock Price Index Using Fractionally Integrated and Heteroskedastic Models
by Javier E. Contreras-Reyes, Joaquín E. Zavala and Byron J. Idrovo-Aguirre
J. Risk Financial Manag. 2024, 17(9), 401; https://doi.org/10.3390/jrfm17090401 - 7 Sep 2024
Cited by 1 | Viewed by 598
Abstract
Stock market indices are important tools to measure and compare stock market performance. The Selective Stock Price (SSP) index reflects fluctuations in a set value of financial instruments of Santiago de Chile’s stock exchange. Stock indices also reflect volatility linked to high uncertainty [...] Read more.
Stock market indices are important tools to measure and compare stock market performance. The Selective Stock Price (SSP) index reflects fluctuations in a set value of financial instruments of Santiago de Chile’s stock exchange. Stock indices also reflect volatility linked to high uncertainty or potential investment risk. However, economic shocks are altering volatility. Evidence of long memory in SSP time series also exists, which implies long-term persistence. In this paper, we studied the volatility of SSP time series from January 2010 to September 2023 using fractionally heteroskedastic models. We considered the Autoregressive Fractionally Integrated Moving Average (ARFIMA) process with Generalized Autoregressive Conditional Heteroskedasticity (GARCH) innovations—the ARFIMA-GARCH model—for SSP log returns, and the fractionally integrated GARCH, or FIGARCH model, was compared with a classical GARCH one. The results show that the ARFIMA-GARCH model performs best in terms of volatility fit and predictive quality. This model allows us to obtain a better understanding of the observed volatility and its behavior, which contributes to more effective investment risk management in the stock market. Moreover, the proposed model detects the influence volatility increments of the SSP index linked to external factors that impact the economic outlook, such as China’s economic slowdown in 2012 and the subprime crisis in 2008. Full article
(This article belongs to the Special Issue Political Risk Management in Financial Markets)
►▼ Show Figures

Figure 1

15 pages, 797 KiB  
Article
The Real-Time Impact of Political Risk on Market Valuations: Evidence from Peru
by Juan Pablo Micozzi, Patricio Navia, Pablo Pinto and Sebastian Saiegh
J. Risk Financial Manag. 2024, 17(7), 298; https://doi.org/10.3390/jrfm17070298 - 13 Jul 2024
Viewed by 587
Abstract
This study examines the impact of political risk on financial markets by leveraging high-frequency (minute-by-minute) price data and precise event timestamps from media outlets’ Twitter feeds during Pedro Castillo’s failed coup attempt in Peru. Unlike previous research that relies on low-frequency data and [...] Read more.
This study examines the impact of political risk on financial markets by leveraging high-frequency (minute-by-minute) price data and precise event timestamps from media outlets’ Twitter feeds during Pedro Castillo’s failed coup attempt in Peru. Unlike previous research that relies on low-frequency data and protracted political changes, our analysis demonstrates that daily closing prices may misleadingly suggest negligible impact. In contrast, high-frequency data reveal that markets promptly and accurately incorporated news of the coup attempt and, in turn, its failure into asset prices. Our analysis shows that breakdowns in democratic governance negatively affect asset prices, while the restoration of the rule of law, in the form Congressional checks on the Executive branch, boosts them. Moreover, our analyses suggest that domestic companies and sectors with less mobile assets are more vulnerable to these political risks. Our findings underscore the crucial role of high-frequency data in accurately capturing how institutions and political risk affects equity markets. Full article
(This article belongs to the Special Issue Political Risk Management in Financial Markets)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop