Diversification and the benefits of using returns standardized by range-based volatility estimators

被引:4
|
作者
Luis Miralles-Quiros, Jose [1 ]
Mar Miralles-Quiros, Maria [1 ]
Nogueira, Jose Manuel [2 ]
机构
[1] Univ Extremadura, Dept Financial Econ, Ave Elvas S-N, Badajoz 06006, Spain
[2] Polytech Inst Tomar, Tomar, Portugal
关键词
developed markets; exchange trade funds; international diversification; out-of-sample performance; range-volatility estimators; standardized returns; STOCK; BRICS;
D O I
10.1002/ijfe.1685
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
The aim of our research is to analyse the benefits for the U.S. investors of combining their domestic exchange trade fund (ETF) with ETFs, which track other developed markets such as the United Kingdom, Japan, Germany, and France. We evaluate the out-of-sample performance of six strategies using the returns and volatility forecasts from a VAR Asymmetric Dynamic Conditional Correlation GARCH approach where returns standardized by range-based volatility estimators were used as endogenous variables. The initial outperformances of some strategies using classic returns were significantly improved when returns were standardized by the Garman-Klass precise volatility estimator. Additionally, we find a large decrease in the weights of the North American ETF in the best performing strategies, meaning that it is possible to obtain benefits from diversification. These findings are relevant not only for academics but also for active professional managers who can use this technique to add value to their international diversification strategies.
引用
收藏
页码:671 / 684
页数:14
相关论文
共 50 条
  • [41] Range-based volatility modeling in financial markets using a family of scale mixtures of Birnbaum-Saunders distribution
    Tamandi, Mostafa
    Desmond, Anthony F. F.
    Jamalizadeh, Ahad
    COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2024, 53 (10) : 4956 - 4975
  • [42] Multifractal analysis of realized range-based volatility in Shanghai Stock Exchange Composite Index
    Jia Zhanliang
    Li Handong
    PROCEEDINGS OF 2010 INTERNATIONAL CONFERENCE ON LOGISTICS SYSTEMS AND INTELLIGENT MANAGEMENT, VOLS 1-3, 2010, : 985 - 988
  • [43] Index futures trading and spot volatility in China: A semiparametric approach with range-based proxies
    Tan, Na
    Peng, Yulei
    Liu, Yanchu
    Pan, Zhewen
    JOURNAL OF FUTURES MARKETS, 2017, 37 (10) : 1003 - 1030
  • [44] The economic value of range-based covariance between stock and bond returns with dynamic copulas
    Wu, Chih-Chiang
    Liang, Shin-Shun
    JOURNAL OF EMPIRICAL FINANCE, 2011, 18 (04) : 711 - 727
  • [45] Guilty speculators? Range-based conditional volatility in a cross-section of wheat futures
    Haase, Marco
    Huss, Matthias
    JOURNAL OF COMMODITY MARKETS, 2018, 10 : 29 - 46
  • [46] An Interval Regression Model and Its Application in Forecasting Range-based Volatility of Chinese Stock Market
    Yang, Wei
    Han, Ai
    Wang, Shouyang
    INTERNATIONAL WORK-CONFERENCE ON TIME SERIES (ITISE 2014), 2014, : 1006 - 1007
  • [47] Dual long-memory, structural breaks and the link between turnover and the range-based volatility
    Karanasos, M.
    Kartsaklas, A.
    JOURNAL OF EMPIRICAL FINANCE, 2009, 16 (05) : 838 - 851
  • [48] Central and Eastern European Stock Exchanges under Stress: A Range-Based Volatility Spillover Framework
    Demiralay, Sercan
    Bayraci, Selcuk
    FINANCE A UVER-CZECH JOURNAL OF ECONOMICS AND FINANCE, 2015, 65 (05): : 411 - 430
  • [49] Evaluating Forecast Distributions in Neural Network HAR-Type Models for Range-Based Volatility
    La Rocca, Michele
    Perna, Cira
    ENGINEERING APPLICATIONS OF NEURAL NETWORKS, EANN 2024, 2024, 2141 : 504 - 517
  • [50] Range-based relative localization using a fixed number of measurements
    Lin Zhang
    Li Yu
    Intelligent Service Robotics, 2019, 12 : 69 - 86