Asset allocation of Australian superannuation funds: a markov regime switching approach

被引:1
作者
Bissoondoyal-Bheenick, Emawtee [1 ,2 ]
Brooks, Robert [3 ]
Do, Hung [4 ,5 ]
机构
[1] RMIT Univ, Sch Econ Finance & Mkt, Melbourne, Vic, Australia
[2] Monash Univ, Dept Banking & Finance, Melbourne, Vic, Australia
[3] Monash Univ, Dept Econometr & Business Stat, Melbourne, Vic, Australia
[4] Massey Univ, Sch Econ & Finance, Auckland, New Zealand
[5] Vietnam Natl Univ, Int Sch, Hanoi, Vietnam
关键词
Superannuation investment strategies; Asset allocation; Switching; Performance; LONG MEMORY; CRISIS; RISK; MODEL; SIZE;
D O I
10.1007/s10479-022-04741-0
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
We extend an observable Markov Regime Switching framework to assess the switching behaviour of asset classes of Australian superannuation funds across different fund sizes. We identify the most prominent asset class which contributes to the performance of the investment options and what factors trigger funds' decisions on rebalancing their portfolio. We find that smaller funds tend to be more active in switching to aggressive options and the larger funds are more conservative. However, in periods of volatility, the large funds are the risk seekers and tend to switch their asset classes and hence their investment strategies. The asset classes whose values add to the performance of the investment options are equity markets and bond markets with the domestic equity market having better performance than international equity market. The switch for the larger funds is driven by volatility of the equity market.
引用
收藏
页码:485 / 515
页数:31
相关论文
共 50 条
  • [31] Global Asset Allocation Strategy Using a Hidden Markov Model
    Kim, Eun-chong
    Jeong, Han-wook
    Lee, Nak-young
    JOURNAL OF RISK AND FINANCIAL MANAGEMENT, 2019, 12 (04)
  • [32] Dynamic asset allocation with asset-specific regime forecasts
    Shu, Yizhan
    Yu, Chenyu
    Mulvey, John M.
    ANNALS OF OPERATIONS RESEARCH, 2025, 346 (01) : 285 - 318
  • [33] Optimal asset allocation for commodity sovereign wealth funds
    Irarrazabal, Alfonso A.
    Ma, Lin
    Parra-Alvarez, Juan Carlos
    QUANTITATIVE FINANCE, 2023, 23 (03) : 471 - 495
  • [34] Asset allocation with recursive parameter updating and macroeconomic regime identifiers
    Goodarzi, Milad
    Meinerding, Christoph
    EUROPEAN JOURNAL OF FINANCE, 2025,
  • [35] Cryptocurrency volatility forecasting: A Markov regime-switching MIDAS approach
    Ma, Feng
    Liang, Chao
    Ma, Yuanhui
    Wahab, M. I. M.
    JOURNAL OF FORECASTING, 2020, 39 (08) : 1277 - 1290
  • [36] Simple VARs cannot approximate Markov switching asset allocation decisions: An out-of-sample assessment
    Guidolin, Massimo
    Hyde, Stuart
    COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2012, 56 (11) : 3546 - 3566
  • [37] What determines the asset allocation of defined benefit pension funds?
    Zhao, Zucheng
    Sutcliffe, Charles
    APPLIED ECONOMICS, 2021, 53 (36) : 4178 - 4191
  • [38] A Scenarios Approach to Asset Allocation
    Gosling, Susan
    JOURNAL OF PORTFOLIO MANAGEMENT, 2010, 37 (01) : 53 - 66
  • [39] Regime Dependent Effects of Inflation Uncertainty on Real Growth: A Markov Switching Approach
    Caglayan, Mustafa
    Kocaaslan, Ozge Kandemir
    Mouratidis, Kostas
    SCOTTISH JOURNAL OF POLITICAL ECONOMY, 2016, 63 (02) : 135 - 155
  • [40] Performance of fixed-income mutual funds with regime-switching models
    Ayadi, Mohamed A.
    Lazrak, Skander
    Liao, Yusui
    Welch, Robert
    QUARTERLY REVIEW OF ECONOMICS AND FINANCE, 2018, 69 : 217 - 231