Author: Andreas Würfel
Publisher: diplom.de
ISBN: 3832473076
Category : Business & Economics
Languages : en
Pages : 120
Book Description
Inhaltsangabe:Abstract: This paper evaluates the real options approach (ROA) as a means for appraising capital investments under uncertainty. Globalisation and growing competitiveness have led to an increase in uncertainty with regard to companies decision making. Flexibility to react to this uncertainty has become more important. The question arises whether there is a need for a further investment appraisal technique or whether traditional techniques can cope with that. A growing literature about real options shows that traditional investment appraisal techniques do not value flexibility. That is why ROA has become more important within recent years. However, the degree of its utilisation by companies seems to be rather low. Three possible reasons for that are examined: ROA is not well-known by companies, especially small- and medium-sized enterprises. ROA is only limitedly applicable. ROA is too difficult to use. After traditional investment appraisal techniques have been outlined, the real options approach is illustrated by means of a case study. The possible range of application is assessed by reviewing the literature. A survey was conducted to check whether companies know about or apply that technique, and to identify the tools used by companies. This study shows that while the range of possible applications of real options is rather vast, ROA is rarely known by German and British companies and barely applied. One reason might be, that most books and articles are of rather academic nature. This seems to have been realised since books with a focus on practical application have been published recently. The complexity of ROA seems to be a further reason for its low degree of utilisation. Companies tend to use simpler but more comprehensible techniques although these methods have some major drawbacks. However, business science should not end in itself but serve businesses. Therefore, further emphasis has to be put on making real options approachable for practitioners. Inhaltsverzeichnis:Table of Contents: I.Abstract2 II.Acknowledgements3 III.Table of Contents4 IV.List of Figures7 V.List of Abbreviations8 1.Introduction9 2.Characteristics of Investment Decisions11 2.1What Is a Capital Investment?11 2.2Risk and Uncertainty12 3.Tools for Investment Appraisals15 3.1Static Methods15 3.2Discounted Cash Flow Approaches (Dynamic)17 3.3Approaches Which Try to Deal With Risk20 4.The Real Options Approach24 4.1Why Use Real Options to [...]
Evaluating real options as a means for investment appraisal under uncertainty and its degree of utilisation by companies
Author: Andreas Würfel
Publisher: diplom.de
ISBN: 3832473076
Category : Business & Economics
Languages : en
Pages : 120
Book Description
Inhaltsangabe:Abstract: This paper evaluates the real options approach (ROA) as a means for appraising capital investments under uncertainty. Globalisation and growing competitiveness have led to an increase in uncertainty with regard to companies decision making. Flexibility to react to this uncertainty has become more important. The question arises whether there is a need for a further investment appraisal technique or whether traditional techniques can cope with that. A growing literature about real options shows that traditional investment appraisal techniques do not value flexibility. That is why ROA has become more important within recent years. However, the degree of its utilisation by companies seems to be rather low. Three possible reasons for that are examined: ROA is not well-known by companies, especially small- and medium-sized enterprises. ROA is only limitedly applicable. ROA is too difficult to use. After traditional investment appraisal techniques have been outlined, the real options approach is illustrated by means of a case study. The possible range of application is assessed by reviewing the literature. A survey was conducted to check whether companies know about or apply that technique, and to identify the tools used by companies. This study shows that while the range of possible applications of real options is rather vast, ROA is rarely known by German and British companies and barely applied. One reason might be, that most books and articles are of rather academic nature. This seems to have been realised since books with a focus on practical application have been published recently. The complexity of ROA seems to be a further reason for its low degree of utilisation. Companies tend to use simpler but more comprehensible techniques although these methods have some major drawbacks. However, business science should not end in itself but serve businesses. Therefore, further emphasis has to be put on making real options approachable for practitioners. Inhaltsverzeichnis:Table of Contents: I.Abstract2 II.Acknowledgements3 III.Table of Contents4 IV.List of Figures7 V.List of Abbreviations8 1.Introduction9 2.Characteristics of Investment Decisions11 2.1What Is a Capital Investment?11 2.2Risk and Uncertainty12 3.Tools for Investment Appraisals15 3.1Static Methods15 3.2Discounted Cash Flow Approaches (Dynamic)17 3.3Approaches Which Try to Deal With Risk20 4.The Real Options Approach24 4.1Why Use Real Options to [...]
Publisher: diplom.de
ISBN: 3832473076
Category : Business & Economics
Languages : en
Pages : 120
Book Description
Inhaltsangabe:Abstract: This paper evaluates the real options approach (ROA) as a means for appraising capital investments under uncertainty. Globalisation and growing competitiveness have led to an increase in uncertainty with regard to companies decision making. Flexibility to react to this uncertainty has become more important. The question arises whether there is a need for a further investment appraisal technique or whether traditional techniques can cope with that. A growing literature about real options shows that traditional investment appraisal techniques do not value flexibility. That is why ROA has become more important within recent years. However, the degree of its utilisation by companies seems to be rather low. Three possible reasons for that are examined: ROA is not well-known by companies, especially small- and medium-sized enterprises. ROA is only limitedly applicable. ROA is too difficult to use. After traditional investment appraisal techniques have been outlined, the real options approach is illustrated by means of a case study. The possible range of application is assessed by reviewing the literature. A survey was conducted to check whether companies know about or apply that technique, and to identify the tools used by companies. This study shows that while the range of possible applications of real options is rather vast, ROA is rarely known by German and British companies and barely applied. One reason might be, that most books and articles are of rather academic nature. This seems to have been realised since books with a focus on practical application have been published recently. The complexity of ROA seems to be a further reason for its low degree of utilisation. Companies tend to use simpler but more comprehensible techniques although these methods have some major drawbacks. However, business science should not end in itself but serve businesses. Therefore, further emphasis has to be put on making real options approachable for practitioners. Inhaltsverzeichnis:Table of Contents: I.Abstract2 II.Acknowledgements3 III.Table of Contents4 IV.List of Figures7 V.List of Abbreviations8 1.Introduction9 2.Characteristics of Investment Decisions11 2.1What Is a Capital Investment?11 2.2Risk and Uncertainty12 3.Tools for Investment Appraisals15 3.1Static Methods15 3.2Discounted Cash Flow Approaches (Dynamic)17 3.3Approaches Which Try to Deal With Risk20 4.The Real Options Approach24 4.1Why Use Real Options to [...]
Return Patterns of German Open-End Real Estate Funds
Author: Sebastian Michael Gläsner
Publisher: Peter Lang
ISBN: 9783631604069
Category : Business & Economics
Languages : en
Pages : 132
Book Description
The aim of this study is to better understand stable capital growth of German properties and to contribute to the explanation of stable fund returns. In the course of the investigation, evidence is found that both phenomena are interrelated. All analyses are based on publicly available data; therefore they are not limited by client interests. Results show three different pieces of evidence on return smoothing, namely the influence on valuation, the timing of valuations, and the influence on returns resulting in return differences by calendar months. Together with the notion of internationally uniquely stable returns, it seems impossible to extract true asset volatility from the observed appraisal-based time series.
Publisher: Peter Lang
ISBN: 9783631604069
Category : Business & Economics
Languages : en
Pages : 132
Book Description
The aim of this study is to better understand stable capital growth of German properties and to contribute to the explanation of stable fund returns. In the course of the investigation, evidence is found that both phenomena are interrelated. All analyses are based on publicly available data; therefore they are not limited by client interests. Results show three different pieces of evidence on return smoothing, namely the influence on valuation, the timing of valuations, and the influence on returns resulting in return differences by calendar months. Together with the notion of internationally uniquely stable returns, it seems impossible to extract true asset volatility from the observed appraisal-based time series.
Spatially Explicit Hyperparameter Optimization for Neural Networks
Author: Minrui Zheng
Publisher: Springer Nature
ISBN: 9811653992
Category : Computers
Languages : en
Pages : 120
Book Description
Neural networks as the commonly used machine learning algorithms, such as artificial neural networks (ANNs) and convolutional neural networks (CNNs), have been extensively used in the GIScience domain to explore the nonlinear and complex geographic phenomena. However, there are a few studies that investigate the parameter settings of neural networks in GIScience. Moreover, the model performance of neural networks often depends on the parameter setting for a given dataset. Meanwhile, adjusting the parameter configuration of neural networks will increase the overall running time. Therefore, an automated approach is necessary for addressing these limitations in current studies. This book proposes an automated spatially explicit hyperparameter optimization approach to identify optimal or near-optimal parameter settings for neural networks in the GIScience field. Also, the approach improves the computing performance at both model and computing levels. This book is written for researchers of the GIScience field as well as social science subjects.
Publisher: Springer Nature
ISBN: 9811653992
Category : Computers
Languages : en
Pages : 120
Book Description
Neural networks as the commonly used machine learning algorithms, such as artificial neural networks (ANNs) and convolutional neural networks (CNNs), have been extensively used in the GIScience domain to explore the nonlinear and complex geographic phenomena. However, there are a few studies that investigate the parameter settings of neural networks in GIScience. Moreover, the model performance of neural networks often depends on the parameter setting for a given dataset. Meanwhile, adjusting the parameter configuration of neural networks will increase the overall running time. Therefore, an automated approach is necessary for addressing these limitations in current studies. This book proposes an automated spatially explicit hyperparameter optimization approach to identify optimal or near-optimal parameter settings for neural networks in the GIScience field. Also, the approach improves the computing performance at both model and computing levels. This book is written for researchers of the GIScience field as well as social science subjects.
Agricultural Finance Review
Author:
Publisher:
ISBN:
Category : Agricultural credit
Languages : en
Pages : 152
Book Description
Publisher:
ISBN:
Category : Agricultural credit
Languages : en
Pages : 152
Book Description
Business Periodicals Index
Author:
Publisher:
ISBN:
Category : Business
Languages : en
Pages : 2838
Book Description
Publisher:
ISBN:
Category : Business
Languages : en
Pages : 2838
Book Description
Mcgraw-Hill Finance Literature Index
Author: Jean Louis Heck
Publisher:
ISBN: 9780070277908
Category : Business & Economics
Languages : en
Pages : 498
Book Description
Publisher:
ISBN: 9780070277908
Category : Business & Economics
Languages : en
Pages : 498
Book Description
The McGraw-Hill Finance Literature Index
Author:
Publisher:
ISBN:
Category : Finance
Languages : en
Pages : 508
Book Description
Publisher:
ISBN:
Category : Finance
Languages : en
Pages : 508
Book Description
American Doctoral Dissertations
Author:
Publisher:
ISBN:
Category : Dissertation abstracts
Languages : en
Pages : 776
Book Description
Publisher:
ISBN:
Category : Dissertation abstracts
Languages : en
Pages : 776
Book Description
Comprehensive Dissertation Index: Business & Economics L-Z
Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 794
Book Description
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 794
Book Description
Handbook Of Financial Econometrics, Mathematics, Statistics, And Machine Learning (In 4 Volumes)
Author: Cheng Few Lee
Publisher: World Scientific
ISBN: 9811202400
Category : Business & Economics
Languages : en
Pages : 5053
Book Description
This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.
Publisher: World Scientific
ISBN: 9811202400
Category : Business & Economics
Languages : en
Pages : 5053
Book Description
This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.