"Modelling Long Memory Volatility in Agricultural Commodity Futures Returns" [PDF]
This paper estimates the long memory volatility model for 16 agricultural commodity futures returns from different futures markets, namely corn, oats, soybeans, soybean meal, soybean oil, wheat, live cattle, cattle feeder, pork, cocoa, coffee, cotton ...
Chia-Lin Chang +2 more
core +3 more sources
This study aims to model and forecast the volatility of ANTM stock returns using FIGARCH and GARCH models to capture both short- and long-memory dynamics. Daily return data spanning from January 1, 2014, to December 31, 2024, were analyzed after stationarity confirmation via ADF test.
Elfa Rafulta +3 more
openaire +1 more source
Co-movements and spillovers of oil and renewable firms under extreme conditions: New evidence from negative WTI prices during COVID-19. [PDF]
Corbet S, Goodell JW, Günay S.
europepmc +1 more source
Fintech in islamic finance literature: A review. [PDF]
Alshater MM +3 more
europepmc +1 more source
Long Memory in LME Volatility through the ARFIMA and FIGARCH Model
null Jaehwan Park, null 김현숙
openaire +1 more source
İMKB`de etkin piyasa hipotezinin A-FIGARCH model ile testi: Sektör endeksleri üzerine uygulama
Total Number of Pages:74The efficient market hypothesis suggest that prices of securities that are traded in the financial market are not affected by own past values. In this context, investors cannot gain excessive return by using past values of prices of securities in an efficient market.
openaire +1 more source
The nexus between black and digital gold: evidence from US markets. [PDF]
Huynh TLD +4 more
europepmc +1 more source
Understanding the Nature of the Long-Range Memory Phenomenon in Socioeconomic Systems. [PDF]
Kazakevičius R +3 more
europepmc +1 more source
Pricing of options under different volatility models [PDF]
In this paper we compare the price of an option with one year maturity of the German stock index DAX for several volatility models including long memory and leverage effects.
Herzberg, Markus, Sibbertsen, Philipp
core
AI companies' strategies with traditional vs. digital assets amid geopolitical and banking crises. [PDF]
Dammak W +3 more
europepmc +1 more source

