Author: David Frederik Schrager
Publisher: Rozenberg Publishers
ISBN: 9051709455
Category :
Languages : en
Pages : 195
Book Description
Essays on asset liabilty modelling
Author: David Frederik Schrager
Publisher: Rozenberg Publishers
ISBN: 9051709455
Category :
Languages : en
Pages : 195
Book Description
Publisher: Rozenberg Publishers
ISBN: 9051709455
Category :
Languages : en
Pages : 195
Book Description
Forecasting Financial Time Series Using Model Averaging
Author: Francesco Ravazzolo
Publisher: Rozenberg Publishers
ISBN: 9051709145
Category :
Languages : en
Pages : 198
Book Description
Believing in a single model may be dangerous, and addressing model uncertainty by averaging different models in making forecasts may be very beneficial. In this thesis we focus on forecasting financial time series using model averaging schemes as a way to produce optimal forecasts. We derive and discuss in simulation exercises and empirical applications model averaging techniques that can reproduce stylized facts of financial time series, such as low predictability and time-varying patterns. We emphasize that model averaging is not a "magic" methodology which solves a priori problems of poorly forecasting. Averaging techniques have an essential requirement: individual models have to fit data. In the first section we provide a general outline of the thesis and its contributions to previ ous research. In Chapter 2 we focus on the use of time varying model weight combinations. In Chapter 3, we extend the analysis in the previous chapter to a new Bayesian averaging scheme that models structural instability carefully. In Chapter 4 we focus on forecasting the term structure of U.S. interest rates. In Chapter 5 we attempt to shed more light on forecasting performance of stochastic day-ahead price models. We examine six stochastic price models to forecast day-ahead prices of the two most active power exchanges in the world: the Nordic Power Exchange and the Amsterdam Power Exchange. Three of these forecasting models include weather forecasts. To sum up, the research finds an increase of forecasting power of financial time series when parameter uncertainty, model uncertainty and optimal decision making are included.
Publisher: Rozenberg Publishers
ISBN: 9051709145
Category :
Languages : en
Pages : 198
Book Description
Believing in a single model may be dangerous, and addressing model uncertainty by averaging different models in making forecasts may be very beneficial. In this thesis we focus on forecasting financial time series using model averaging schemes as a way to produce optimal forecasts. We derive and discuss in simulation exercises and empirical applications model averaging techniques that can reproduce stylized facts of financial time series, such as low predictability and time-varying patterns. We emphasize that model averaging is not a "magic" methodology which solves a priori problems of poorly forecasting. Averaging techniques have an essential requirement: individual models have to fit data. In the first section we provide a general outline of the thesis and its contributions to previ ous research. In Chapter 2 we focus on the use of time varying model weight combinations. In Chapter 3, we extend the analysis in the previous chapter to a new Bayesian averaging scheme that models structural instability carefully. In Chapter 4 we focus on forecasting the term structure of U.S. interest rates. In Chapter 5 we attempt to shed more light on forecasting performance of stochastic day-ahead price models. We examine six stochastic price models to forecast day-ahead prices of the two most active power exchanges in the world: the Nordic Power Exchange and the Amsterdam Power Exchange. Three of these forecasting models include weather forecasts. To sum up, the research finds an increase of forecasting power of financial time series when parameter uncertainty, model uncertainty and optimal decision making are included.
Maintenance models for systems subject to measurable deterioration
Author: Robin Pieter Nicolai
Publisher: Rozenberg Publishers
ISBN: 9051709978
Category : Banks and banking, Central
Languages : en
Pages : 198
Book Description
Complex engineering systems such as bridges, roads, flood defence structures, and power pylons play an important role in our society. Unfortunately such systems are subject to deterioration, meaning that in course of time their condition falls from higher to lower, and possibly even to unacceptable, levels. Maintenance actions such as inspection, local repair and replacement should be done to retain such systems in or restore them to acceptable operating conditions. After all, the economic consequences of malfunctioning infrastructure systems can be huge. In the life-cycle management of engineering systems, the decisions regarding the timing and the type of maintenance depend on the temporal uncertainty associated with the deterioration. Hence it is of importance to model this uncertainty. In the literature, deterioration models based on Brownian motion and gamma process have had much attention, but a thorough comparison of these models lacks. In this thesis both models are compared on several aspects, both in a theoretical as well as in an empirical setting. Moreover, they are compared with physical process models, which can capture structural insights into the underlying process. For the latter a new framework is developed to draw inference. Next, models for imperfect maintenance are investigated. Finally, a review is given for systems consisting of multiple components.
Publisher: Rozenberg Publishers
ISBN: 9051709978
Category : Banks and banking, Central
Languages : en
Pages : 198
Book Description
Complex engineering systems such as bridges, roads, flood defence structures, and power pylons play an important role in our society. Unfortunately such systems are subject to deterioration, meaning that in course of time their condition falls from higher to lower, and possibly even to unacceptable, levels. Maintenance actions such as inspection, local repair and replacement should be done to retain such systems in or restore them to acceptable operating conditions. After all, the economic consequences of malfunctioning infrastructure systems can be huge. In the life-cycle management of engineering systems, the decisions regarding the timing and the type of maintenance depend on the temporal uncertainty associated with the deterioration. Hence it is of importance to model this uncertainty. In the literature, deterioration models based on Brownian motion and gamma process have had much attention, but a thorough comparison of these models lacks. In this thesis both models are compared on several aspects, both in a theoretical as well as in an empirical setting. Moreover, they are compared with physical process models, which can capture structural insights into the underlying process. For the latter a new framework is developed to draw inference. Next, models for imperfect maintenance are investigated. Finally, a review is given for systems consisting of multiple components.
Dynamic econometric analysis of insurance markets with imperfect information
Author: Tibor Zavadil
Publisher: Rozenberg Publishers
ISBN: 9036100941
Category :
Languages : en
Pages : 228
Book Description
Publisher: Rozenberg Publishers
ISBN: 9036100941
Category :
Languages : en
Pages : 228
Book Description
Come Close and Co-create
Author: Sandra Phlippen
Publisher: Rozenberg Publishers
ISBN: 9051709188
Category : Pharmaceutical industry
Languages : en
Pages : 190
Book Description
Access to relevant external knowledge is crucial for a firms' competitiveness in innovation-driven industries. This thesis focuses on how different forms of proximity affect a firm's ability to access such knowledge. We consider the influence of being co-located in space, of being embedded in a network, and of being active in similar knowledge domains. By integrating these three proximity perspectives, we contribute to various disciplines such as economic geography, organizational sociology and innovation studies. Further, we investigate the make, buy or ally strategies that pharmaceutical firms employ to maximize the probability of innovation (finding new drugs). Our findings suggest that firms employ multiple governance structures simultaneously, even when targeting similar innovations. These insights contribute to our understanding of the boundaries of the firm.
Publisher: Rozenberg Publishers
ISBN: 9051709188
Category : Pharmaceutical industry
Languages : en
Pages : 190
Book Description
Access to relevant external knowledge is crucial for a firms' competitiveness in innovation-driven industries. This thesis focuses on how different forms of proximity affect a firm's ability to access such knowledge. We consider the influence of being co-located in space, of being embedded in a network, and of being active in similar knowledge domains. By integrating these three proximity perspectives, we contribute to various disciplines such as economic geography, organizational sociology and innovation studies. Further, we investigate the make, buy or ally strategies that pharmaceutical firms employ to maximize the probability of innovation (finding new drugs). Our findings suggest that firms employ multiple governance structures simultaneously, even when targeting similar innovations. These insights contribute to our understanding of the boundaries of the firm.
A walk down Lombard Street
Author: Lev Ratnovski
Publisher: Rozenberg Publishers
ISBN: 9051708270
Category :
Languages : en
Pages : 92
Book Description
Publisher: Rozenberg Publishers
ISBN: 9051708270
Category :
Languages : en
Pages : 92
Book Description
Advances in the use of stochastic dominance in asset pricing
Author: Philippe Johannes Petrus Marie Versijp
Publisher: Rozenberg Publishers
ISBN: 9051709358
Category :
Languages : en
Pages : 128
Book Description
Publisher: Rozenberg Publishers
ISBN: 9051709358
Category :
Languages : en
Pages : 128
Book Description
Advances in monitoring the economy
Author: Rene Segers
Publisher: Rozenberg Publishers
ISBN: 9036101042
Category :
Languages : en
Pages : 160
Book Description
Monitoring involves the collection, analysis and evaluation of information over time. For many professionals, monitoring is a central aspect of their work. For example, policy- makers closely watch the e®ects of their current policies to set the right course for reform. Likewise, physicians monitor the well-being of their patients to adjust their treatments when necessary. In business, n̄ancial investors monitor stock prices and interest rates to optimally time their investments, while marketing managers watch their customers' needs and wants to frame their marketing e®orts. The above examples illustrate that monitoring is crucial in many disciplines to make the right decisions at the right moment. For this reason, there has always been a need for improved monitoring methods. With the advent of increasingly powerful computers and advanced analytical techniques, monitoring systems can nowadays process large amounts of information and have become fully automated where desired. A large body of moni- toring methods originate from academics. Especially during the past four decades, many insights from various ēlds such as economics, statistics, psychometrics and econometrics found their way into everyday monitoring practice. With the overwhelming availability of information in some cases, but also the intrinsic lack of information in other cases, the area is continuously faced with new and highly relevant research challenges. The aim of this thesis is to contribute to the development of new monitoring methods by o®ering potential solutions to some of these challenges. The challenges studied in this thesis arise from all three aspects of monitoring, that is from the collection, the analysis as well as from the evaluation of information.
Publisher: Rozenberg Publishers
ISBN: 9036101042
Category :
Languages : en
Pages : 160
Book Description
Monitoring involves the collection, analysis and evaluation of information over time. For many professionals, monitoring is a central aspect of their work. For example, policy- makers closely watch the e®ects of their current policies to set the right course for reform. Likewise, physicians monitor the well-being of their patients to adjust their treatments when necessary. In business, n̄ancial investors monitor stock prices and interest rates to optimally time their investments, while marketing managers watch their customers' needs and wants to frame their marketing e®orts. The above examples illustrate that monitoring is crucial in many disciplines to make the right decisions at the right moment. For this reason, there has always been a need for improved monitoring methods. With the advent of increasingly powerful computers and advanced analytical techniques, monitoring systems can nowadays process large amounts of information and have become fully automated where desired. A large body of moni- toring methods originate from academics. Especially during the past four decades, many insights from various ēlds such as economics, statistics, psychometrics and econometrics found their way into everyday monitoring practice. With the overwhelming availability of information in some cases, but also the intrinsic lack of information in other cases, the area is continuously faced with new and highly relevant research challenges. The aim of this thesis is to contribute to the development of new monitoring methods by o®ering potential solutions to some of these challenges. The challenges studied in this thesis arise from all three aspects of monitoring, that is from the collection, the analysis as well as from the evaluation of information.
Decision making with asymmetric information
Author: Silvia Dominguez Martinez
Publisher: Rozenberg Publishers
ISBN: 9051708661
Category :
Languages : en
Pages : 174
Book Description
Publisher: Rozenberg Publishers
ISBN: 9051708661
Category :
Languages : en
Pages : 174
Book Description
Worldwide Asset and Liability Modeling
Author: William T. Ziemba
Publisher: Cambridge University Press
ISBN: 9780521571876
Category : Business & Economics
Languages : en
Pages : 688
Book Description
The underlying theme of this volume is how to invest assets over time to achieve satisfactory returns subject to uncertainties, various constraints and liability commitments. Most investors, be they individuals or institutions, do not diversify properly across markets nor across time. The papers utilize several approaches and integrate a number of techniques as well as discussing a variety of models that have either been implemented, are close to being implemented, or represent new innovative approaches that may lead to future novel applications. Other issues address the future of asset-liability management modeling. This includes models for individuals, and various financial institutions such as banks and insurance companies. This will lead to custom products, that is, financial engineering. All in all, this will be essential reading for all involved in analysing the financial markets.
Publisher: Cambridge University Press
ISBN: 9780521571876
Category : Business & Economics
Languages : en
Pages : 688
Book Description
The underlying theme of this volume is how to invest assets over time to achieve satisfactory returns subject to uncertainties, various constraints and liability commitments. Most investors, be they individuals or institutions, do not diversify properly across markets nor across time. The papers utilize several approaches and integrate a number of techniques as well as discussing a variety of models that have either been implemented, are close to being implemented, or represent new innovative approaches that may lead to future novel applications. Other issues address the future of asset-liability management modeling. This includes models for individuals, and various financial institutions such as banks and insurance companies. This will lead to custom products, that is, financial engineering. All in all, this will be essential reading for all involved in analysing the financial markets.