Long-Term Portfolio Management Using Attribute Selection and Combinatorial Fusion

Author(s):  
Jason Irukulapati ◽  
D. Frank Hsu ◽  
Christina Schweikert
2019 ◽  
Vol 59 (2) ◽  
pp. 609
Author(s):  
Douglas W. Hollett ◽  
Craig N. Phasey

Digital twins and digital ‘solutions’ have become increasingly common in recent years, as companies recognise the benefit of greater visibility and control into their operations. When built and implemented properly, a digital twin (DT) offers the potential for significant cost savings, coupled with attractive add-on value in safety, operational integrity and predictive maintenance, all of which can also result in increased production. DTs are also critical for effective portfolio management, in allowing a full understanding of asset or field value, upside, and long-term potential. By identifying areas for optimisation, a DT can help the operator prioritise investment, and accurately understand which assets to keep or monetise. Through building DTs for operating properties, Nova Systems and PTC have gained a deep understanding of the upside potential inherent in the technology. This also means that DT technology can be invaluable in asset acquisitions. During merger and acquisition (M&A) analysis, a company typically looks for technical, operational and financial leverage which can unlock potential not seen by the current owner. These can be commercial (commodity contract, price deck and agreements), technical (e.g. engineering approach and models, and subsurface), operating synergies (common services, facilities and duplication) and digital solutions. While most companies utilise traditional and tested approaches to asset valuation, new digital solutions offer the opportunity for break-out higher valuations which can drive an entirely new approach to M&A growth. In today’s competitive marketplace, the company with an innovative digital solutions skillset will have the advantage.


Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-18
Author(s):  
Jian Xiong ◽  
Chao Zhang ◽  
Gang Kou ◽  
Rui Wang ◽  
Hisao Ishibuchi ◽  
...  

With the development of economy, the requirement of financial planning for individuals or families is emerging. In the era of the Internet, individual investors can conveniently enter the market and purchase financial products. Traditional portfolio management models focus on risky markets such as stock markets. However, risk-averse investors, such as normal families, may concern appropriate long-term financial planning. This paper considers the problem of portfolio management of bank financial products with a long-term planning horizon. By taking into account the final return and the flexibility, a multiobjective model of long-term portfolio is proposed. A multiobjective evolutionary approach is employed for the handling of conflicting objectives. Test instances are generated to illustrate the problem. Experiment results show that the presented algorithm can efficiently find trade-off solutions. Our experimental results also show that crossover probabilities should be separately implemented for long-term portfolio problems with hybrid encoding. Performance comparison of different crossover operators suggest that, for a real-valued encoding part, the simulated binary crossover (SBX) has a better performance than BLX- operator. While for a binary encoding part, a uniform crossover operator might be appropriate for large-scale instances. The proposed multiobjective model in this paper provides risk-averse investors with an appropriate decision support model for the long-term financial planning and management.


2001 ◽  
Vol 4 (2) ◽  
pp. 344-358
Author(s):  
J. H. Mostert ◽  
S. J. Steel ◽  
F. J. Mostert

In the long-term insurance industry, sound financial investment decisions depend largely on the portfolio management practices of the investment practitioners concerned. The ability of the investment practitioners to make well-informed decisions, as well as the strategies and policies underlying portfolio management practices, are the main issues of this research. Important correlations amongst various aspects of the financial investment decisionmaking process, as well as their association with the general information pertaining to the long-term insurers (which were disclosed during the empirical study), emerge in the closing section of this paper. The conclusions should be of prime interest to long-term insurers as well as investment practitioners who are working in that industry.


2019 ◽  
Vol 17 (4) ◽  
pp. 33
Author(s):  
Luiz Guilherme Carpizo ◽  
Márcio Gomes Pinto Garcia

<p>Despite the fall in the interest rate observed in Brazil in recent decades, and specific regulations on the private pension segment that encourage long-term risk taking, institutions in this segment appear to be considerably sensitive to short-term factors, while avoiding exposure to long-term risk factors. With portfolio allocation data from large entities, we implemented a VAR model to evaluate the impact of interest rate changes on portfolio management decisions and performed a counterfactual analysis to define the causal effect of regulation on additional risk taking. Results indicate that interest rate increases lead to significant and persistent reduction of investment in riskier assets with longer maturities, while the implemented regulation was not able to force greater risk-taking by institutions, in addition to generating distortions in segments of the Brazilian financial market.</p>


2018 ◽  
Vol 6 (1) ◽  
pp. 20-34
Author(s):  
Muhammad Husnain ◽  
◽  
Ume Habiba ◽  
Shahnaz Arifullah ◽  
Izhar Muhammad ◽  
...  

The influential work of Markowitz (1952, 1959) provides foundation to modern investment philosophy. Investors can reap the potential benefit of portfolio diversification only if the involved asset classes in investment basket are not perfectly correlated. Objective of this study is to empirically investigate the cointegration among equity market of Pakistan and its major trading partners (China, France, Germany, Hong Kong, Japan, Korea, Malaysia, UK and USA). Sample period of study starts from 2004 to 2015, on weekly basis. Bivariate cointegration (Johansen, 1991, 1995) analysis reveals that equity market of Pakistan has no long term relationship with any of the equity markets of its major trading partners. Therefore, we recommend to potential investors, portfolio managers, and policy makers that prospective benefit of portfolio diversification can be achieved by investing in the equity markets of major trading partners of Pakistan. Further, they should be vigilant regarding the co-movement among equity markets during portfolio management decisions.


Symmetry ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 67
Author(s):  
Ching-Hsue Cheng ◽  
Yun-Chun Wang

Acquired Immunodeficiency Syndrome (AIDS) is the most severe phase of Human Immunodeficiency Virus (HIV) infection. Living with HIV results in a weakened immune system, with AIDS being the final stage of HIV and puzzling the world. The current medical environment remains unable to effectively cure AIDS, with treatment depending on long-term antiretroviral therapy (ART). To effectively treat and prevent HIV, it is important to elucidate the key factors of HIV propagation. This study proposes a rough set classifier based on adding recency (R) (i.e., the last physician visit), frequency (F) (i.e., the frequency of medical visits), and monetary (M) (i.e., medication adherence) attributes and integrated attribute selection methods to generate discriminatory rules and find the core attributes of HIV. The collected data consist of 1308 HIV infection records from Taiwan. From the experimental results, the frequency of CD4+ cells in the peripheral blood is able to determine patient medication, treatment willingness, and HIV infection stages, because HIV patients are less likely to be willing to receive long-term ART. Furthermore, drug abuse is found to be the greatest cause of HIV infection. These results show that the additional RFM attributes can improve classification accuracy, with the core attributes being M, R, plasma viral load (PVL) and age. Hence, we suggest that clinical physicians use these core attributes to understand the HIV infection stages.


2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Refk Selmi ◽  
Rangan Gupta ◽  
Christos Kollias ◽  
Stephanos Papadamou

Purpose Portfolio construction and diversification is a prominent challenge for investors. It reflects market agents’ behavior and response to market conditions. This paper aims to investigate the stock-bond nexus in the case of two emerging and two mature markets, India, South Africa, the UK and the USA, using long-term historical monthly data. Design/methodology/approach To address the issue at hand, copula quantile-on-quantile regression (C-QQR) is used to model the correlation structure. Although this technique is driven by copula-based quantile regression model, it retains more flexibility and delivers more robust and accurate estimates. Findings Results suggest that there is substantial heterogeneity in the bond-stock returns correlation across the countries under study point to different investors’ behavior in the four markets examined. Additionally, the findings reported herein suggest that using C-QQR in portfolio management can enable the formation of tailored response strategies, adapted to the needs and preferences of investors and traders. Originality/value To the best of the authors’ knowledge, no previous study has addressed in a comparative setting the stock-bond nexus for the four countries used here using long-term historical data that cover the periods 1920:08-2017:02, 1910:01-2017:02, 1933:01-2017:02 and 1791:09-2017:02 for India, South Africa, the UK and the USA, respectively.


2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Walid Mensi ◽  
Mobeen Ur Rehman ◽  
Muhammad Shafiullah ◽  
Khamis Hamed Al-Yahyaee ◽  
Ahmet Sensoy

AbstractThis paper examines the high frequency multiscale relationships and nonlinear multiscale causality between Bitcoin, Ethereum, Monero, Dash, Ripple, and Litecoin. We apply nonlinear Granger causality and rolling window wavelet correlation (RWCC) to 15 min—data. Empirical RWCC results indicate mostly positive co-movements and long-term memory between the cryptocurrencies, especially between Bitcoin, Ethereum, and Monero. The nonlinear Granger causality tests reveal dual causation between most of the cryptocurrency pairs. We advance evidence to improve portfolio risk assessment, and hedging strategies.


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