https://www.erfin.org/journal/index.php/erfin/issue/feed Econometric Research in Finance 2024-06-12T21:15:51+02:00 Dobromił Serwa editor@erfin.org Open Journal Systems <p>The journal publishes empirical studies in finance and economics. See our <a href="/journal/index.php/erfin/about/editorialPolicies#focusAndScope" target="_self">Focus and Scope</a>.</p> https://www.erfin.org/journal/index.php/erfin/article/view/192 Pricing Options Embedded in Corporate Bonds Using the Binomial Method 2024-05-28T18:40:22+02:00 Qi Liu qiliu67@u.nus.edu <p>It is common for a corporate bond to include a call provision that gives the issuing company an option to call, or redeem, the bond at some prespecified set of call prices before the stated maturity date. Since the option is embedded in the bond, it is not traded publicly and thus its value is unknown to bondholders. This study is aimed to price these embedded options and their related bonds, both callable and noncallable, using the binomial method such that the method is set up to approximate the evolution of the short rate. Using reasonable values for the relevant factors and parameters, our results show that the prices of the options and the two types of bonds are noticeably affected by such factors and parameters as the maturity of the bonds, the coupon, the call price, the volatility of the short rate, and the initial short rate.</p> 2023-12-31T00:00:00+01:00 ##submission.copyrightStatement## https://www.erfin.org/journal/index.php/erfin/article/view/198 ACD Modeling High-Frequency FX and Market Microstructure 2024-06-12T21:15:51+02:00 Jorge Esteban Hernández jorge.estebanh@alumni.uam.es <p>This paper advances high-frequency foreign exchange (FX) market microstructure analysis by adapting Autoregressive Conditional Duration (ACD) models to study intervals between price updates. By treating these updates as random variables within a point process, the models adeptly capture the dynamic structure of conditional durations and retain key information in high-frequency series. These series display properties critical for understanding market behavior and liquidity dynamics. The findings challenge the belief that increased data frequency reduces microstructural relevance, showing it actually improves understanding of market dynamics. This study broadens econometric model applications and offers updated insights into FX market behavior, providing practical information for academics, practitioners, and policymakers. It contributes significantly to the literature and lays a foundation for future research.</p> 2023-12-31T00:00:00+01:00 ##submission.copyrightStatement##