The standard approaches to estimating minimum variance hedge ratios (MVHRs) are mis-specified when futures prices are subject to price limits. This paper proposes a bivariate tobit-FIGARCH model with maturity effects to estimate dynamic MVHRs using single and multiple period approaches. Simulations and an application to a commodity futures hedge support the proposed approach and highlight the i...

این پژوهش با الهام گرفتن از نتایج یک طرح مطالعاتی کاربردی، رویکرد سلسله­‌مراتبی جهت پیگیری فرایند توسعه تأمین‌کنندگان و حمایت تصمیمات موجود در هر مراحل آن ارائه‌ می‌کند. ابتدا، زمینه‌های تأمین نیازمند سپس واجد شرایط هریک زمینه‌ها به کمک تصمیم‌گیری چندشاخصه بهترین-بدترین مشخص می‌گردند. معیارهای شناسایی نیز مرور مطالعات پیشین بهره‌گیری نظرات خبرگان حوزه‌ی خرید استخراج‌شده‌اند. درنهایت، مدل ریاضی ...

This paper develops a new multivariate Markov regime switching model that incorporates long memory in the volatility process. The research extends the Generalized Regime Switching (GRS) framework developed by Gray (1996) to the Bivariate case using a Fractionally Integrated GARCH process with constant correlation (B-RS_FIGARCH). The model is applied to estimate dynamic minimum variance hedge ra...

This study takes into account the newly developed hybrid ARIMA-FIGARCH. We use daily price index of S&P 500. The data employed for this was secondary in nature all variables and obtained from publications Central Bank Nigeria Bulletin, National Bureau Statistics, World Statistics Database, dated January 2005 to December 2020. Also, result Jarque-Bera test indicated that p-values were less t...

We investigate the impact of the European Central Bank’s monetary policy communication on the level and volatility of the EUR-US Dollar exchange rate employing an AR-FIGARCH specification. Using high-frequency data we estimate the individual and complementary effects of the release of the interest rate decision, the ECB’s introductory statement and the question and answer session. Surprise inte...

The hedging of weather risks has become extremely relevant in recent years, promoting the diffusion of weather derivative contracts. The pricing of such contracts require the development of appropriate models for the prediction of the underlying weather variables. Within this framework, we present a modification of the double long memory ARFIMA-FIGARCH model introducing time-varying memory coef...

This paper examines the importance of basis convergence and long memory in volatility when estimating minimum variance hedge ratios (MVHRs) using SPI futures. The paper employs a bivariate FIGARCH model with a maturity effect to model the joint dynamics of the Australian All Ordinaries Index and the basis. This new approach allows for long memory in volatility, time varying correlations and the...