Results 71 to 80 of about 2,339 (211)
Asymmetric long memory garch: a reply to hwang's model [PDF]
, 2003 Hwang (Econom. Lett. 71 (2001) 1) proposes the FIFGARCH model to represent long memory asymmetric conditional variances. However, the model is badly specified and does not nest some fractionally integrated heteroskedastic models previously proposed.
Pérez, Ana, Ruiz, Esther
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The Predictive Performance of Asymmetric Normal Mixture GARCH in Risk Management: Evidence from Turkey [PDF]
The purpose of this study is to test predictive performance of Asymmetric Normal Mixture Garch (NMAGARCH) and other Garch models based on Kupiec and Christoffersen tests for Turkish equity market.
Cifter, Atilla, Ozun, Alper
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İKİLİ UZUN HAFIZADA ASİMETRİ ETKİSİ: BİST BANKA ÖRNEĞİ
Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 2019 Çalışmanın amacı, Türk bankacılık sektör endeksiningetiri ve volatilitesinde ikili uzun hafıza özelliğini ARFIMA-FIGARCH veARFIMA-FIEGARCH modeli ile inceleyerek etkin piyasalar hipotezini testetmektir. Bu amaçla modelde veri seti olarak 2008-2017 dönemi
Harun Kaya, İsmail Çelik
doaj +1 more source
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 ...
Chang, C-L. +2 more
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International Journal of Financial StudiesThe aim of this study is to enhance the understanding of volatility dynamics in commodity returns, such as gold and cocoa, as well as the financial market index S&P500. It provides a comprehensive overview of each model’s efficacy in capturing volatility
Apostolos Ampountolas
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Out-of-sample Forecasting Performance of Won/Dollar Exchange Rate Return Volatility Model
East Asian Economic Review, 2009 We compare the out-of-sample forecasting performance of volatility models using daily exchange rate for the KRW/USD during the period from 1992 to 2008.
Hojin Lee
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East Asian Economic Review, 2007 This paper investigates the relevance of skewed Student-t distributions in capturing long memory volatility properties in the daily return series of Japanese financial data (Nikkei 225 Index and JPY-USD exchange rate).
Seong¡-Min Yoon , Sang-Hoon Kang
doaj +1 more source
On the Predictability of Green Finance Markets: An Assessment Based on Fractal and Shannon Entropy
Fractal and FractionalEconophysics is an interdisciplinary field that applies physics concepts to economic and financial systems. By utilizing tools such as statistical physics, including fractal analysis and entropy measures, econophysics helps model the complex and non ...
Sonia Benghiat, Salim Lahmiri
doaj +1 more source
Forecasting volatility and volume in the Tokyo stock market: The advantage of long memory models [PDF]
We investigate the predictability of both volatility and volume for a large sample of Japanese stocks. The particular emphasis of this paper is on assessing the performance of long memory time series models in comparison to their short-memory ...
Kaizoji, Taisei, Lux, Thomas
core
The impact of foreign exchange interventions: new evidence from FIGARCH estimations [PDF]
, 1999 info:eu-repo/semantics ...
Beine, Michel +2 more
openaire +1 more source