A Bayesian conditional autoregressive geometric process model for range data

JSK Chan, CPY Lam, PLH Yu, STB Choy… - … Statistics & Data Analysis, 2012 - Elsevier
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 …

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 …

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 …

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 …

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 …

[PDF][PDF] Stock Market Volatility Forecasting: Can Interval Data Improve it?

M Zhu, Y Hong, S Wang, Z Cheng… - Available at SSRN …, 2022 - papers.ssrn.com
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 …

[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 …

[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 …

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 …

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 …