Genetic algorithms applied to asset & liability management

Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies ManagementEffective asset liability management is at the core of what a life insurance company must do, particularly in what concerns defined benefits pension fund products. The life insurer faces a complex problem whereby multiple and sometimes conflicting objectives must be addressed at the same time, such as achieving higher returns while reducing the portfolio’s exposure to a plethora of risks. To achieve these goals, pension fund managers must then carefully choose asset allocation strategies for their portfolios from an infinite pool of asset combinations and weights. Given the nature of this problem, the use of genetic algorithms seems to be adequate, as this method is particularly well suited to deal with very large and multi-modal solution spaces. The main purpose of this dissertation is to assess how well the genetic algorithm method performs in solving this specific problem, and compare the results with other simpler methods. The results of Genetic Algorithms application were satisfactory and the results of this study suggests that Genetic Algorithms are a useful tool to solve ALM problems

Applications of biased randomised algorithms and simheuristics to asset and liability management

Asset and Liability Management (ALM) has captured the attention of academics and financial researchers over the last few decades. On the one hand, we need to try to maximise our wealth by taking advantage of the financial market and, on the other hand, we need to cover our payments (liabilities) over time. The purpose of ALM is to give investors a series of resources or techniques to select the appropriate assets on the financial market that respond to the aforementioned two key factors: cover our liabilities and maximise our wealth. This thesis presents a set of techniques that are capable of tackling realistic financial problems without the usual requirement of considerable computational resources. These techniques are based on heuristics and simulation. Specifically, a biased randomised metaheuristic model is developed that has a direct application in the way insurance companies usually operate. The algorithm makes it possible to efficiently select the smallest number of assets, mainly fixed income, on the balance sheet while guaranteeing the company's obligations. This development allows for the incorporating of the credit quality of the issuer of the assets used. Likewise, a portfolio optimisation model with liabilities is developed and solved with a genetic algorithm. The portfolio optimisation problem differs from the usual one in that it is multi-period, and incorporates liabilities over time. Additionally, the possibility of external financing is included when the entity does not have sufficient cash. These conditions give rise to a complex problem that is efficiently solved by an evolutionary algorithm. In both cases, the algorithms are improved with the incorporation of Monte Carlo simulation. This allows the solutions to be robust when considering realistic market situations. The results are very promising. This research shows that simheuristics is an ideal method for this type of problem.La gestión de activos y pasivos (asset and liability management, ALM) ha acaparado la atención de académicos e investigadores financieros en las últimas décadas. Por un lado, debemos tratar de maximizar nuestra riqueza aprovechando el mercado financiero, y por otro, debemos cubrir nuestros pagos (pasivos) a lo largo del tiempo. El objetivo del ALM es dotar al inversor de una serie de recursos o técnicas para seleccionar los activos del mercado financiero adecuados para obedecer a los dos factores clave mencionados: cumplir con nuestros pasivos y maximizar nuestra riqueza. Esta tesis presenta un conjunto de técnicas que son capaces de abordar problemas financieros realistas sin la necesidad habitual de considerables recursos computacionales. Estas técnicas se basan en la heurística y la simulación. En concreto, se desarrolla un modelo metaheurístico sesgado que tiene una aplicación directa en la operación habitual de inmunización de las compañías de seguros. El algoritmo permite seleccionar eficientemente el menor número de activos, principalmente de renta fija, en el balance y garantizar las obligaciones de la compañía. Este desarrollo permite incorporar la calidad crediticia del emisor de los activos utilizados. Asimismo, se desarrolla un modelo de optimización de la cartera con el pasivo y se resuelve con un algoritmo genético. El problema de optimización de la cartera difiere del habitual en que es multiperiodo e incorpora los pasivos a lo largo del tiempo. Además, se incluye la posibilidad de financiación externa cuando la entidad no tiene suficiente efectivo. Estas condiciones dan lugar a un problema complejo que se resuelve eficientemente mediante un algoritmo evolutivo. En ambos casos, los algoritmos se mejoran con la incorporación de la simulación de Montecarlo. Esto permite que las soluciones sean robustas cuando consideramos situaciones de mercado realistas. Los resultados son muy prometedores. Esta investigación demuestra que la simheurística es un método ideal para este tipo de problemas.La gestió d'actius i passius (asset and liability management, ALM) ha acaparat l'atenció d'acadèmics i investigadors financers les darreres dècades. D'una banda, hem de mirar de maximitzar la nostra riquesa aprofitant el mercat financer, i de l'altra, hem de cobrir els nostres pagaments (passius) al llarg del temps. L'objectiu de l'ALM és dotar l'inversor d'una sèrie de recursos o tècniques per seleccionar els actius del mercat financer adequats per obeir als dos factors clau esmentats: complir els passius i maximitzar la nostra riquesa. Aquesta tesi presenta un conjunt de tècniques que són capaces d'abordar problemes financers realistes sense la necessitat habitual de recursos computacionals considerables. Aquestes tècniques es basen en l'heurística i la simulació. En concret, es desenvolupa un model metaheurístic esbiaixat que té una aplicació directa a l'operació habitual d'immunització de les companyies d'assegurances. L'algorisme permet seleccionar eficientment el menor nombre d'actius, principalment de renda fixa, al balanç i garantir les obligacions de la companyia. Aquest desenvolupament permet incorporar la qualitat creditícia de l'emissor dels actius utilitzats. Així mateix, es desenvolupa un model d'optimització de la cartera amb el passiu i es resol amb un algorisme genètic. El problema d'optimització de la cartera difereix de l'habitual en el fet que és multiperíode i incorpora els passius al llarg del temps. A més, s'inclou la possibilitat de finançament extern quan l'entitat no té prou efectiu. Aquestes condicions donen lloc a un problema complex que es resol eficientment mitjançant un algorisme evolutiu. En tots dos casos, els algorismes es milloren amb la incorporació de la simulació de Montecarlo. Això permet que les solucions siguin robustes quan considerem situacions de mercat realistes. Els resultats són molt prometedors. Aquesta recerca demostra que la simheurística és un mètode ideal per a aquesta mena de problemes.Tecnologías de la información y de rede

An Evolutionary Approach to Multistage Portfolio Optimization

Portfolio optimization is an important problem in quantitative finance due to its application in asset management and corporate financial decision making. This involves quantitatively selecting the optimal portfolio for an investor given their asset return distribution assumptions, investment objectives and constraints. Analytical portfolio optimization methods suffer from limitations in terms of the problem specification and modelling assumptions that can be used. Therefore, a heuristic approach is taken where Monte Carlo simulations generate the investment scenarios and' a problem specific evolutionary algorithm is used to find the optimal portfolio asset allocations. Asset allocation is known to be the most important determinant of a portfolio's investment performance and also affects its risk/return characteristics. The inclusion of equity options in an equity portfolio should enable an investor to improve their efficient frontier due to options having a nonlinear payoff. Therefore, a research area of significant importance to equity investors, in which little research has been carried out, is the optimal asset allocation in equity options for an equity investor. A purpose of my thesis is to carry out an original analysis of the impact of allowing the purchase of put options and/or sale of call options for an equity investor. An investigation is also carried out into the effect ofchanging the investor's risk measure on the optimal asset allocation. A dynamic investment strategy obtained through multistage portfolio optimization has the potential to result in a superior investment strategy to that obtained from a single period portfolio optimization. Therefore, a novel analysis of the degree of the benefits of a dynamic investment strategy for an equity portfolio is performed. In particular, the ability of a dynamic investment strategy to mimic the effects ofthe inclusion ofequity options in an equity portfolio is investigated. The portfolio optimization problem is solved using evolutionary algorithms, due to their ability incorporate methods from a wide range of heuristic algorithms. Initially, it is shown how the problem specific parts ofmy evolutionary algorithm have been designed to solve my original portfolio optimization problem. Due to developments in evolutionary algorithms and the variety of design structures possible, a purpose of my thesis is to investigate the suitability of alternative algorithm design structures. A comparison is made of the performance of two existing algorithms, firstly the single objective stepping stone island model, where each island represents a different risk aversion parameter, and secondly the multi-objective Non-Dominated Sorting Genetic Algorithm2. Innovative hybrids of these algorithms which also incorporate features from multi-objective evolutionary algorithms, multiple population models and local search heuristics are then proposed. . A novel way is developed for solving the portfolio optimization by dividing my problem solution into two parts and then applying a multi-objective cooperative coevolution evolutionary algorithm. The first solution part consists of the asset allocation weights within the equity portfolio while the second solution part consists 'ofthe asset allocation weights within the equity options and the asset allocation weights between the different asset classes. An original portfolio optimization multiobjective evolutionary algorithm that uses an island model to represent different risk measures is also proposed.Imperial Users onl

Law, Innovation and Finance: A Review

A number of recent national and EU initiatives have sought explicitly to encourage innovative firms and venture capital finance. In keeping with the policy debate, this paper focuses explicitly on the role of law and lawyers in facilitating venture capital: that is, both supply by investors, and demand by entrepreneurs. It reviews existing literature in a way that seeks to clarify the links between law and legal institutions and the facilitation of venture capital finance, identifies open research questions and suggests a number of hypotheses. As such, it forms the first part of a wider study which will seek to test these hypothesesVenture Capital, Law and Finance, Company Law, Innovation

Analysis of South African pension fund conversions: 1980-2006; developing a model for dealing with environmental change

Between 1980-2006, thousands of South African pension funds converted members from defined benefit to defined contribution structures. This research set out to answer the questions of why this phenomenon occurred and whether peculiar environmental circumstances influenced the outcome. The research framework identified various stakeholders in the retirement fund industry - government; regulator; pension fund adjudicator; ombudsman for long term insurance; trade unions; members; trustees; business; employers and service providers - and isolated the elements to be considered in the research. Industry experts were interviewed to obtain a macro view of the phenomenon and specific manifestations of the phenomenon were also considered in case studies. The purpose of the research was to develop a model for managers to assist them in dealing with environmental change. Qualitative research methodology was utilised and feedback from semi-structured interviews was categorised into several emergent themes. Within-case and cross-case analyses were conducted. Research results indicate that the conversion phenomenon occurred in two waves - one initiated in the 1980s and driven by the trade unions and a second in the 1990s, driven by employers, often at the advice of their consultants. Evidence of the start of a third wave also emerged. Results indicate that an environmental shock exerted a substantial influence on the course of events. Under these:  Various factors combined to drive organisational evolution (i.e. adaptation to the environment).  Adaptation speed was inappropriate and exceeded that which was required for sufficient thought.  Uncertainty and vacuum circumstances arose leading to consequences that require redress.  The power of the relative stakeholders changed and influenced the strategic outcome.  An imbalance in stakeholder interests arose and ethical factors became consequential.  Business acted to restore certainty for itself. Existing literature explained organisational behaviour in environments of competitive shock and high turbulence, but not in circumstances of environmental shock. A model emerged to assist managers to deal with environmental change, which was applied to an analysis of pension fund reform. It was also applied to the pension fund perspective on Broad-Based Black Economic Empowerment. This model may also be applied in analysis of land redistribution, sanctions and constitutional development.Business ManagementDB

In-house investment management: making and implementing the decision

We propose a framework that asset owners can use for making and implementing any decision to manage investments in-house. It involves addressing four elements: capabilities, costs, alignment and governance; with key aspects identified for consideration within each element. The framework draws on guidance from the literature, and insights from interviews with executives from the Australian superannuation fund industry. We also report on the interviews, where we uncover striking diversity in the approaches to deciding whether to manage in-house, and the emphasis placed on various aspects related to the perceived benefits, challenges and success factors. Our framework encompasses and unifies the wide range of viewpoints we heard from industry executives. We are supportive of in-house management, provided that the conditions are right and it is implemented appropriately

Overview of Hybrid Financial Instruments and Investment Leverage Enablers for Cultural Heritage Adaptive Reuse

Cultural heritage adaptive reuse investment strategies involve long-term, sometimes perpetual, investment horizons, which necessitate the integration of sustainable funding mechanisms. In order to achieve participatory circular human prosperity, the sustainable finance movement must re-evaluate investment leverage approaches including value creation models, the design of hybrid financial instruments, analytical decision-making frameworks,collaborative social enterprise structures, impact performance metrics and evolving mindsets. In the context of this overview of financial and non-financial instruments, cultural heritage adaptive reuse activities include: • Adaptive reuse of cultural built heritage structures • Energy retrofit of cultural built heritage structures • Protection and management of natural eco-systems; • Socio-cultural community enterprise activities. Cultural heritage adaptive reuse activities embody circular economy dimensions, that engender social, cultural, environmental and economic regeneration, within the global value chain. Consideration of the financial landscape, with regard to capital investment leverage is as much about understanding the motivations of social enterprise stakeholders (including local communities) to engage with the capital markets, as about innovations in financial instruments to safeguard cultural heritage values

Strategy adopted by research associations for success

This thesis presents results of a study of the strategy adopted by UK research associations which led to success. The success of research associations, being not for profit organisations, was measured in terms of sustainable growth. Research associations were established as a result of a government initiative to improve the performance of sectors of British industry. Initially they were financed by way of membership subscriptions and a related government grant. With the decline in the size ofthe manufacturing sectors they served and the removal of government grant, research associations have had to make the transition from publicly supported co-operative research associations to independent privately financed research institutes. The identification of the strategy was based on the analysis of documentary archival, interview and questionnaire data. A case study approach was adopted. The research associations were selected and evaluated in pairs to reduce the effect of the external environment, including the influence of the sector the research associations served. Pilot interviews indicated the importance of governance as well as strategy to these organisations. The study therefore included consideration of research associations' governance. The data collected and analysed for case study research associations enabled both their strategy and governance to be classified using the theoretical models of Whittington (2001) and Cornforth (2003) respectively. The more successful research associations were found to have adopted an evolutionary perspective on strategy and a partnership model of organisational governance. Size contributed to success, with the larger research associations exhibiting superior sustainable growth

Adaptation of domestic state governance to international governance models

The purpose of the article is to provide the evolving international trends of modern management models and authorial vision of model of state governance system in Ukraine, its subsystems, in particular, the system of provision of administrative services that is appropriate for the contemporary times. Methodology. On the basis of scientific and theoretical approaches to the definitions of terms “state governance” and “public governance”, there was an explanation of considerable difference between them and, taking into consideration, the mentality of Ukrainian society and peculiar weak side in self-organization, the authors offered to form authorial model of governance on the basis of historically traditional for Ukraine model of state governance and to add some elements of management concepts that proved their significance, efficiency and priority in practice. Results. The authors emphasized the following two prevailing modern management models in the international practice: “new state management” and “good governance”. The first concept offered for consideration served as a basis for the semantic content of state activity that reflects more the state of administrative reformation. Practical meaning. A practical introduction of management to the domestic model of governance creates the range of contradictions that do not allow implementing herein concept. Pursuant to authors, the second one allows in considerable measure to reform state governance, considering historically developed peculiarities of this model. Moreover, the involvement of concept herein into introduction of informational and communicational technologies in the process of governance eliminates the necessity of power decentralization, it allows to form real net structure and, at the same, to keep vertical power structure, to involve citizens for formation and taking of management decisions, to form electronic communicational channel of feedback, to provide citizens with electronic administrative services. All indicated advantages of the concept certify about the necessity to reform state governance exactly in this field. Meaning/ Distinction. This article raises a question about the significance of formation and sequence of state policy in Ukraine aimed at creating an information-oriented society, space, as well as informational and technological infrastructure