Optimal investment risks and debt management with backup security in a financial crisis

2018 ◽  
Vol 338 ◽  
pp. 129-152 ◽  
Author(s):  
Charles I. Nkeki
2018 ◽  
Vol 05 (01) ◽  
pp. 1850003 ◽  
Author(s):  
Charles I. Nkeki

In this paper, we consider a strategic management of investment risks of an economy that faces financial crisis. The assets consider are multiple stocks and multiple fixed assets. Asset of the economy is a linear combination of portfolio weights and the expected stock returns plus a linear combination of the price of fixed and quantities of assets. Also, the debt profile, consumption and income growth of the economy are studied. The resulting optimization problem was solved by the method of Lagrangian multiplier. The aims of this paper are to determine the (i) mean–variance investment portfolio of the economy, (ii) optimal investment of the economy, (ii) optimal debt ratio of the economy, (iii) efficient frontier for the economy (iv) global minimum risks in the investment portfolio. Empirical results using real data collected from Nigerian Stock Exchange are considered.


2018 ◽  
Vol 14 (4) ◽  
pp. 1323-1348 ◽  
Author(s):  
Qian Zhao ◽  
◽  
Zhuo Jin ◽  
Jiaqin Wei ◽  
◽  
...  

2017 ◽  
Vol 47 (2) ◽  
pp. 501-525 ◽  
Author(s):  
Chou-Wen Wang ◽  
Hong-Chih Huang

AbstractThis paper provides an optimal asset allocation strategy to enhance risk management performance in the face of a financial crisis; this strategy entails constructing a good asset model – a multivariate jump-diffusion (MJD) model which includes idiosyncratic and systematic jumps simultaneously – and choosing suitable asset allocations and objective functions for fund management. This study also provides the dependence structure for the MJD model. The empirical implementation demonstrates that the proposed MJD model provides more detailed information about the financial crisis, allowing fund managers to determine an appropriate asset allocation strategy that enhances investment performance during the crisis.


2020 ◽  
Author(s):  
Raúl D. Navas ◽  
Sónia R. Bentes ◽  
Helena V. G. Navas

Our study explores the efficient frontier of optimal investment, taking behind the Markowitz’s theory, while advocating a diversified portfolio to reduce risk. To perform it, six portfolio models are proposed, and its formation are made by a solver, where the selected solving method is the GRG Nonlinear engine for linear solver problems. Our main goal is to design portfolios that resists to financial crisis but at the same time persists in a wealthy period. We analyze the decade where we assisted to two crashes (2000–2010) and a semi-decade where we assist to a wealthy period (2011–2018). The assets used are varied, such as Equities indexes form various countries, sector equities, bonds, commodities, EURUSD exchange and VIX. Results show that the GRG Nonlinear engine is powerful, providing excess returns in all six models.


2018 ◽  
Author(s):  
Charan Singh
Keyword(s):  

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