Power generation investment opportunities evaluation: A comparison between net present value and real options approach

To evaluate an investment project in the competitive electricity market, there are several key factors that affects the project's value: the present value that the project could bring to investor, the possible future course of actions that investor has and the project's management flexibility. The traditional net present value (NPV) criteria has the ability to capture the present value of the project's future cash flow, but it fails to assess the value brought by market uncertainty and management flexibility. By contrast with NPV, the real options approach (ROA) method has the advantage to combining the uncertainty and flexibility in evaluation process. In this paper, a framework for using ROA to evaluate the generation investment opportunity has been proposed. By given a detailed case study, the proposed framework is compared with NPV and showing a different results

Real estate research needs of the plan sponsor community:what do the plan sponsor real estate investment managers want to know?

This article reports the results of a web-based survey of real estate portfolio managers in the pension fund industry. The study focused on ascertaining the real estate research interests of the respondents as well as whether or not research funding should be allocated to various research topics. Performance measures of real estate assets and portfolios, microeconomic factors affecting real estate and the role of real estate in a mixed-asset portfolio were the top three real estate research interests. There was some variation by the type and size of fund providing evidence that segmentation is important within the money management industry. Respondents were also queried on more focused research subtopics and additional questions in the survey focused on satisfaction with existing real estate benchmarks, and perceptions of the usefulness of published research. Findings should be used to guide research practitioners and academics as to the most important research interests of plan sponsor real estate investment managers.

On the comparative performance of socially responsible and Islamic mutual funds

This is the first study to provide comprehensive analyses of the relative performance of both socially responsible investment (SRI) and Islamic mutual funds. The analysis proceeds in two stages. In the first, the performance of the two categories of funds is measured using partial frontier methods. In the second stage, we use quantile regression techniques.By combining two variants of the Free Disposal Hull (FDH) methods (order-m and order-?) in the first stage of analysis and quantile regression in the second stage, we provide detailed analyses of the impact of different covariates across methods and across different quantiles. In spite of the differences in the screening criteria and portfolio management of both types of funds, variation in the performance is only found for some of the quantiles of the conditional distribution of mutual fund performance. We established that for the most inefficient funds the superior performance of SRI funds is significant. In contrast, for the best mutual funds this evidence vanished and even Islamic funds perform better than SRI.These results show the benefits of performing the analysis using quantile regression.

Managing risk in enterprise resource planning projects

Enterprise Resource Planning (ERP) projects are strategic and capital intensive, so failure may be costly and even cause bankruptcy of companies. Previous studies have proposed ways for improving implementation, but they are mostly generic and follow standardized project management practices as specified in various standards (e.g. the “project management body of knowledge” of the Project Management Institute). Because ERP is interdisciplinary (involving change management, project management and information technology management), it warrants a customized approach to managing risks throughout the life cycle of implementation and operation. Through a practical case study, this paper demonstrates a qualitative, user friendly approach to ERP project risk management. Firstly, through a literature review it identifies various risk factors in ERP implementation. Secondly, the risk management practices of a UK-based multinational consulting company in one of its clients are evaluated. The risk factors from the case study organization and literature are then compared and discussed.

On the comparative performance of socially responsible and Islamic mutual funds

This is the first study to provide comprehensive analyses of the relative performance of both socially responsible investment (SRI) and Islamic mutual funds. The analysis proceeds in two stages. In the first, the performance of the two categories of funds is measured using partial frontier methods. In the second stage, we use quantile regression techniques. By combining two variants of the Free Disposal Hull (FDH) methods (order- m and order- α) in the first stage of analysis and quantile regression in the second stage, we provide detailed analyses of the impact of different covariates across methods and across different quantiles. In spite of the differences in the screening criteria and portfolio management of both types of funds, variation in the performance is only found for some of the quantiles of the conditional distribution of mutual fund performance. We established that for the most inefficient funds the superior performance of SRI funds is significant. In contrast, for the best mutual funds this evidence vanished and even Islamic funds perform better than SRI. These results show the benefits of performing the analysis using quantile regression. © 2013 Elsevier B.V.

How unlucky is 25-sigma?

Purpose - To identify the likelihood of a 25-standard deviation occurring in stock prices over several successive days, in the light of comments by David Viniar, chief financial officer of Goldman Sachs.. Design/methodology/approach - Assumes a bell-curve of market losses and graphs the probability of an event relative to the number of deviations. Calculates using MATLAB for sigmas over 7. Considers whether the losses of US investment banks in 2008 were the result of bad luck or of incompetence. Findings - Finds that the probability of a 25-sigma event is every 100,000 +130 decimal points years. Practical implications - Argues that bad luck is usually associated with incompetence, and investors need not choose between them. Originality/value - Presents the mathematical absurdity of a finance officer's statement, and its implications.

Money Market Funds in the EU and US, Regulations and Practice

This is the first comprehensive analysis of the regulation of money market funds in the EU and US at both the theoretical and practical levels.  Its unique mutli-disciplinary approach provides a rigorous framework for comparative analysis and expert opinions on complex regulations that will help practitioners with decisions on portfolio management and in solving regulatory compliance issues. The theoretical framework has unique cases and examples and includes checklists to assist with the practice of fund management and legal risk analysis.

Preface

This is the preface to the first comprehensive analysis of the regulation of money market funds in the EU and US at both the theoretical and practical levels. Its unique mutli-disciplinary approach provides a rigorous framework for comparative analysis and expert opinions on complex regulations that will help practitioners with decisions on portfolio management and in solving regulatory compliance issues. The theoretical framework has unique cases and examples and includes checklists to assist with the practice of fund management and legal risk analysis.

Introduction

This is the introductory chapter to the first comprehensive analysis of the regulation of money market funds in the EU and US at both the theoretical and practical levels. Its unique mutli-disciplinary approach provides a rigorous framework for comparative analysis and expert opinions on complex regulations that will help practitioners with decisions on portfolio management and in solving regulatory compliance issues. The theoretical framework has unique cases and examples and includes checklists to assist with the practice of fund management and legal risk analysis.

Short-term Trading in Long-term Funds: Implications for Financial Managers

Most hospitality firms do not consider managing stock portfolios to be a main part of their operations. They are in the service business, using their real assets and the services provided by employees to create valuable experiences for guests. However, the need to focus on stock investments arises through those employees. Employees consistently rank benefits, including retirement benefits, among the top five contributors to job satisfaction and as a key consideration in accepting a job.1 It is not surprising, then, that more than 90 percent of companies with 500 or more employees offer retirement plans. The five largest hotel companies in the U.S. have over $10 billion in assets under management in their retirement plans, making these plans a key component in retirement investment decisions.

Differential Evolution: A Tool for Global Optimization

This report describes a tool for global optimization that implements the Differential Evolution optimization algorithm as a new Excel add-in. The tool takes a step beyond Excel’s Solver add-in, because Solver often returns a local minimum, that is, a minimum that is less than or equal to nearby points, while Differential Evolution solves for the global minimum, which includes all feasible points. Despite complex underlying mathematics, the tool is relatively easy to use, and can be applied to practical optimization problems, such as establishing pricing and awards in a hotel loyalty program. The report demonstrates an example of how to develop an optimum approach to that problem.

Do U.S. and Colombian macro factors improve the forecasting ability of unrestricted VAR models of the local term structure of interest rate?

Este estudio empírico compara la capacidad de los modelos Vectores auto-regresivos (VAR) sin restricciones para predecir la estructura temporal de las tasas de interés en Colombia -- Se comparan modelos VAR simples con modelos VAR aumentados con factores macroeconómicos y financieros colombianos y estadounidenses -- Encontramos que la inclusión de la información de los precios del petróleo, el riesgo de crédito de Colombia y un indicador internacional de la aversión al riesgo mejora la capacidad de predicción fuera de la muestra de los modelos VAR sin restricciones para vencimientos de corto plazo con frecuencia mensual -- Para vencimientos de mediano y largo plazo los modelos sin variables macroeconómicas presentan mejores pronósticos sugiriendo que las curvas de rendimiento de mediano y largo plazo ya incluyen toda la información significativa para pronosticarlos -- Este hallazgo tiene implicaciones importantes para los administradores de portafolios, participantes del mercado y responsables de las políticas

Impacto de los eventos extremos en la construcción de portafolios de inversión eficientes

El presente trabajo de investigación busca medir el impacto que tienen los eventos extremos, también llamados eventos de boom o eventos de crash, según la naturaleza y consecuencias de los mismos en la construcción de portafolios de inversión eficientes -- Se trabajará con los precios de acciones listadas en la bolsa de Nueva York, y con estas se construirán portafolios de inversión, siguiendo la metodología diseñada por Harry Markowitz en 1952 -- Se verificará la rentabilidad de los portafolios antes del evento extremo, y después de este, y se estudiarán las consecuencias de este sobre el portafolio -- El evento extremo que se introducirá en el estudio es la crisis económica y financiera del año 2008, que tiene sus orígenes en la crisis hipotecaria en Estados Unidos -- Con las variaciones en los precios de los activos en dicho periodo de tiempo, se espera estresar el modelo y revisar si lo propuesto por Markowitz sigue teniendo validez ante la aparición de dichos sucesos -- A partir de esto, se realizarán simulaciones con modelos en Excel y técnicas de Montecarlo, se plantearán posibles recomendaciones técnicas que debamos tener en cuenta al momento de construir nuestros portafolios, y se redactará un documento con recomendaciones para los inversionistas en general -- Como aporte adicional, se entregará el código en Visual Basic para automatizar la optimización de los portafolios

Propuesta metodológica para la renovación de los sistemas y procesos de administración de los mercados eléctricos: el caso colombiano

El mercado eléctrico ha evolucionado en Colombia desde 1995, fortaleciéndose institucionalmente, dinamizando su desarrollo, y enfrentando grandes desafíos. Los sistemas de administración, que soportan el funcionamiento del mercado, han evolucionado a la par, aunque algunos se encuentran aislados entre sí o han sido desarrollados en plataformas diferentes, lo que dificulta la sostenibilidad y el mantenimiento, y reducen la facilidad de incorporar cambios. Al referenciarse con otros mercados en el mundo, se observa gran dinámica en la incorporación de tecnologías en información y comunicaciones, avances regulatorios o requerimientos de clientes. Se requiere una renovación tecnológica que conserve el conocimiento adquirido, y permita incorporar fácilmente las tendencias del mercado. Este artículo presenta los resultados de la propuesta metodológica para la renovación tecnológica enmarcada en el proyecto Colciencias CNBT 833559938649 de investigación tecnológica, Sistema para la administración del mercado de energía eléctrica en Colombia, Fase I.

Factores económicos do risco sistemático nas carteiras de investimento: o caso português

Dissertação de mest. em Ciências Económicas e Empresariais, Unidade de Ciências Económicas e Empresariais, Univ. do Algarve, 1996