Stochastic Portfolio Theory Optimization and the Origin of Alternative Asset Allocation Strategies

2013 ◽  
Author(s):  
Gianluca Oderda
Keyword(s):  
Asset Allocation ◽  
Portfolio Theory ◽  
Stochastic Portfolio Theory ◽  
Allocation Strategies

Asset Allocation Strategies: Enhanced by Micro-Blog

2019 ◽  
Author(s):  
Zryan Sadik ◽  
Gautam Mitra ◽  
Shradha Berry
Keyword(s):  
Asset Allocation ◽  
Allocation Strategies

Asset Allocation Strategies and Commodities

2018 ◽  
Author(s):  
Claudio Boido
Keyword(s):  
Asset Allocation ◽  
Asset Management ◽  
Central Banking ◽  
Fixed Income ◽  
Fixed Income Securities ◽  
Asset Classes ◽  
Alternative Beta ◽  
Asset Managers ◽  
Selection Of ◽  
Allocation Strategies

As a result of the financial crisis of 2007–2008 and subsequent central banking decisions, the asset management industry changed its asset allocation choices. Asset managers are focusing their attention on the search for new asset classes by taking advantage of the new opportunities to capture risk premia with the aim of exceeding the returns given by traditional investments, including traded equities, fixed income securities, and cash. By doing so, they are trying to improve the selection of alternative assets, such as commodities that sometimes have relatively low correlations with traditional assets. The chapter begins by describing the principles of asset allocation, distinguishing between passive and active asset allocation, also focusing on beta and alternative beta. It then concentrates on how investors can gain exposure to commodities through different investment vehicles and strategies.

Characteristics analysis of behavioural portfolio theory in the Markowitz portfolio theory framework

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Saksham Mittal ◽  
Sujoy Bhattacharya ◽  
Satrajit Mandal
Keyword(s):  
Emerging Markets ◽  
Asset Allocation ◽  
Portfolio Theory ◽  
Optimal Portfolio ◽  
Content Type ◽  
Major Index ◽  
Brics Countries ◽  
Trade Offs ◽  
Characteristics Analysis ◽  
Mean Variance

PurposeIn recent times, behavioural models for asset allocation have been getting more attention due to their probabilistic modelling for scenario consideration. Many investors are thinking about the trade-offs and benefits of using behavioural models over conventional mean-variance models. In this study, the authors compare asset allocations generated by the behavioural portfolio theory (BPT) developed by Shefrin and Statman (2000) against the Markowitz (1952) mean-variance theory (MVT).Design/methodology/approachThe data used have been culled from BRICS countries' major index constituents from 2009 to 2019. The authors consider a single period economy and generate future probable outcomes based on historical data in order to determine BPT optimal portfolios.FindingsThis study shows that a fair number of portfolios satisfy the first entry constraint of the BPT model. BPT optimal portfolio exhibits high risk and higher returns as compared to typical Markowitz optimal portfolio.Originality/valueThe BRICS countries' data were used because the dynamics of the emerging markets are significantly different from the developed markets, and many investors have been considering emerging markets as their new investment avenues.

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