A Bayesian conditional autoregressive geometric process model for range data
Extreme value theories indicate that the range is an efficient estimator of local volatility in
financial time series. A geometric process (GP) framework that incorporates the conditional …
financial time series. A geometric process (GP) framework that incorporates the conditional …
Estimación de la volatilidad de los precios de las acciones de la BMV mediante el modelo CARR: El caso de AMX-L
FH Servín y Silva - Contaduría y administración, 2011 - scielo.org.mx
Este artículo tiene como propósito presentar la estimación del Modelo Autorregresivo de
Rango Condicional (CARR)(p, q) a partir de tres procedimientos distintos: como un modelo …
Rango Condicional (CARR)(p, q) a partir de tres procedimientos distintos: como un modelo …
Birnbaum‐Saunders autoregressive conditional range model applied to stock index data
J Leão, E Lopes, T Leão… - … Stochastic Models in …, 2020 - Wiley Online Library
This article proposes a new approach to the conditional autoregressive range (CARR)
model using the Birnbaum‐Saunders (BS) distribution. The model aims to develop volatility …
model using the Birnbaum‐Saunders (BS) distribution. The model aims to develop volatility …
BIST100 endeksi getiri volatilite modellemesinde standart ve kartiller arası değişim genişliğinin önemi: Koşullu otoregresif değişim genişliği (KODG) modelleri
E Bekar - Business & Management Studies: An International …, 2022 - bmij.org
Özet Finansal yatırım kararı alınırken ve risk yönetimi kapsamında politikalar belirlenirken
göz önünde bulundurulması gereken en önemli kavram “risk” kavramıdır. Gelecekte …
göz önünde bulundurulması gereken en önemli kavram “risk” kavramıdır. Gelecekte …
The importance of the standard and interquartile range in BİST100 index return volatility modelling: The conditional autoregressive range (CARR) models
E Bekar - Business & Management Studies: An International …, 2022 - search.proquest.com
Finansal yatırım kararı alınırken ve risk yönetimi kapsamında politikalar belirlenirken göz
önünde bulundurulması gereken en önemli kavram “risk” kavramıdır. Gelecekte …
önünde bulundurulması gereken en önemli kavram “risk” kavramıdır. Gelecekte …
[PDF][PDF] Stock Market Volatility Forecasting: Can Interval Data Improve it?
Estimating and forecasting stock volatility is critical to portfolio allocation, asset pricing, and
14 risk management for market participants to make investment decisions and for …
14 risk management for market participants to make investment decisions and for …
[PDF][PDF] SCHOOL OF INFORMATION SCIENCES & TECHNOLOGY
T Panagiota - 2023 - dept.aueb.gr
I owe a debt of gratitude to my parents Theodoros and Georgia for their wholelife support,
valuable trust to this step of my life and infinite love. Words cannot describe how grateful i …
valuable trust to this step of my life and infinite love. Words cannot describe how grateful i …
[PDF][PDF] FORECASTING VOLATILITY USING VOLATILITY MEASURE WITH CONDITIONAL AUTOREGRESSIVE RANGE MODEL
Z SHUO - researchgate.net
In the financial markets, volatility is always associated with monetary policies, exchange
rates and global events. Therefore, correct modelling and forecasting volatility is essential to …
rates and global events. Therefore, correct modelling and forecasting volatility is essential to …
Geometric ergodicity and β-mixing property for a multivariate CARR model
O Lee, DW Shin - Economics Letters, 2008 - Elsevier
Geometric ergodicity and β-mixing property for a multivariate CARR model - ScienceDirect Skip
to main contentSkip to article Elsevier logo Journals & Books Search RegisterSign in View PDF …
to main contentSkip to article Elsevier logo Journals & Books Search RegisterSign in View PDF …
Overreaction and Noise Trading
D Pérez Gatti - 2017 - diposit.ub.edu
This master thesis examines whether the opening price of a trading session is a result of
overreaction generated by the interaction of noise traders. In order to study the overreaction …
overreaction generated by the interaction of noise traders. In order to study the overreaction …