Author: Donald Dibra
Publisher: BoD – Books on Demand
ISBN: 3734755433
Category : Business & Economics
Languages : en
Pages : 110
Book Description
This work presents the application of the Monte Carlo Simulation method and the Decision Tree Analysis approach when dealing with the economic valuation of projects which are subjected to risks and uncertainties. The Net Present Value of a project is usually used as an investment decision parameter. Using deterministic models to calculate a project’s Net Present Value neglects the risky and uncertain nature of real life projects and consequently leads to useless valuation results. Realistic valuation models need to use probability density distributions for the input parameters and certain probabilities for the occurrence of specific events during the life time of a project in combination with the Monte Carlo Simulation method and the Decision Tree Analysis approach. After a short introduction a brief explanation of the traditional project valuation methods is given. The main focus of this work lies in using the Net Present Value method as a basic valuation tool in conjunction with the Monte Carlo Simulation technique and the Decision Tree Analysis approach to form a comprehensive method for project valuation under risk and uncertainty. The extensive project valuation methodology introduced is applied on two fictional projects, one from the pharmaceutical sector and one from the oil and gas exploration and production industry. Both industries deal with high risks, high uncertainties and high costs, but also high rewards. The example from the pharmaceutical industry illustrates very well how the application of the Monte Carlo Simulation and Decision Tree Analysis method, results in a well-diversified portfolio of new drugs with the highest reward at minimum possible risk. Applying the presented probabilistic project valuation approach on the oil exploration and production project shows how to reduce the risk of losing big.
Project Valuation and Decision Making under Risk and Uncertainty applying Decision Tree Analysis and Monte Carlo Simulation
Author: Donald Dibra
Publisher: BoD – Books on Demand
ISBN: 3734755433
Category : Business & Economics
Languages : en
Pages : 110
Book Description
This work presents the application of the Monte Carlo Simulation method and the Decision Tree Analysis approach when dealing with the economic valuation of projects which are subjected to risks and uncertainties. The Net Present Value of a project is usually used as an investment decision parameter. Using deterministic models to calculate a project’s Net Present Value neglects the risky and uncertain nature of real life projects and consequently leads to useless valuation results. Realistic valuation models need to use probability density distributions for the input parameters and certain probabilities for the occurrence of specific events during the life time of a project in combination with the Monte Carlo Simulation method and the Decision Tree Analysis approach. After a short introduction a brief explanation of the traditional project valuation methods is given. The main focus of this work lies in using the Net Present Value method as a basic valuation tool in conjunction with the Monte Carlo Simulation technique and the Decision Tree Analysis approach to form a comprehensive method for project valuation under risk and uncertainty. The extensive project valuation methodology introduced is applied on two fictional projects, one from the pharmaceutical sector and one from the oil and gas exploration and production industry. Both industries deal with high risks, high uncertainties and high costs, but also high rewards. The example from the pharmaceutical industry illustrates very well how the application of the Monte Carlo Simulation and Decision Tree Analysis method, results in a well-diversified portfolio of new drugs with the highest reward at minimum possible risk. Applying the presented probabilistic project valuation approach on the oil exploration and production project shows how to reduce the risk of losing big.
Publisher: BoD – Books on Demand
ISBN: 3734755433
Category : Business & Economics
Languages : en
Pages : 110
Book Description
This work presents the application of the Monte Carlo Simulation method and the Decision Tree Analysis approach when dealing with the economic valuation of projects which are subjected to risks and uncertainties. The Net Present Value of a project is usually used as an investment decision parameter. Using deterministic models to calculate a project’s Net Present Value neglects the risky and uncertain nature of real life projects and consequently leads to useless valuation results. Realistic valuation models need to use probability density distributions for the input parameters and certain probabilities for the occurrence of specific events during the life time of a project in combination with the Monte Carlo Simulation method and the Decision Tree Analysis approach. After a short introduction a brief explanation of the traditional project valuation methods is given. The main focus of this work lies in using the Net Present Value method as a basic valuation tool in conjunction with the Monte Carlo Simulation technique and the Decision Tree Analysis approach to form a comprehensive method for project valuation under risk and uncertainty. The extensive project valuation methodology introduced is applied on two fictional projects, one from the pharmaceutical sector and one from the oil and gas exploration and production industry. Both industries deal with high risks, high uncertainties and high costs, but also high rewards. The example from the pharmaceutical industry illustrates very well how the application of the Monte Carlo Simulation and Decision Tree Analysis method, results in a well-diversified portfolio of new drugs with the highest reward at minimum possible risk. Applying the presented probabilistic project valuation approach on the oil exploration and production project shows how to reduce the risk of losing big.
Decision Making Under Uncertainty
Author: Mykel J. Kochenderfer
Publisher: MIT Press
ISBN: 0262331713
Category : Computers
Languages : en
Pages : 350
Book Description
An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance. Many important problems involve decision making under uncertainty—that is, choosing actions based on often imperfect observations, with unknown outcomes. Designers of automated decision support systems must take into account the various sources of uncertainty while balancing the multiple objectives of the system. This book provides an introduction to the challenges of decision making under uncertainty from a computational perspective. It presents both the theory behind decision making models and algorithms and a collection of example applications that range from speech recognition to aircraft collision avoidance. Focusing on two methods for designing decision agents, planning and reinforcement learning, the book covers probabilistic models, introducing Bayesian networks as a graphical model that captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty; Markov decision processes as a method for modeling sequential problems; model uncertainty; state uncertainty; and cooperative decision making involving multiple interacting agents. A series of applications shows how the theoretical concepts can be applied to systems for attribute-based person search, speech applications, collision avoidance, and unmanned aircraft persistent surveillance. Decision Making Under Uncertainty unifies research from different communities using consistent notation, and is accessible to students and researchers across engineering disciplines who have some prior exposure to probability theory and calculus. It can be used as a text for advanced undergraduate and graduate students in fields including computer science, aerospace and electrical engineering, and management science. It will also be a valuable professional reference for researchers in a variety of disciplines.
Publisher: MIT Press
ISBN: 0262331713
Category : Computers
Languages : en
Pages : 350
Book Description
An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance. Many important problems involve decision making under uncertainty—that is, choosing actions based on often imperfect observations, with unknown outcomes. Designers of automated decision support systems must take into account the various sources of uncertainty while balancing the multiple objectives of the system. This book provides an introduction to the challenges of decision making under uncertainty from a computational perspective. It presents both the theory behind decision making models and algorithms and a collection of example applications that range from speech recognition to aircraft collision avoidance. Focusing on two methods for designing decision agents, planning and reinforcement learning, the book covers probabilistic models, introducing Bayesian networks as a graphical model that captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty; Markov decision processes as a method for modeling sequential problems; model uncertainty; state uncertainty; and cooperative decision making involving multiple interacting agents. A series of applications shows how the theoretical concepts can be applied to systems for attribute-based person search, speech applications, collision avoidance, and unmanned aircraft persistent surveillance. Decision Making Under Uncertainty unifies research from different communities using consistent notation, and is accessible to students and researchers across engineering disciplines who have some prior exposure to probability theory and calculus. It can be used as a text for advanced undergraduate and graduate students in fields including computer science, aerospace and electrical engineering, and management science. It will also be a valuable professional reference for researchers in a variety of disciplines.
Confronting Climate Uncertainty in Water Resources Planning and Project Design
Author: Patrick A. Ray
Publisher: World Bank Publications
ISBN: 1464804788
Category : Business & Economics
Languages : en
Pages : 149
Book Description
Confronting Climate Uncertainty in Water Resources Planning and Project Design describes an approach to facing two fundamental and unavoidable issues brought about by climate change uncertainty in water resources planning and project design. The first is a risk assessment problem. The second relates to risk management. This book provides background on the risks relevant in water systems planning, the different approaches to scenario definition in water system planning, and an introduction to the decision-scaling methodology upon which the decision tree is based. The decision tree is described as a scientifically defensible, repeatable, direct and clear method for demonstrating the robustness of a project to climate change. While applicable to all water resources projects, it allocates effort to projects in a way that is consistent with their potential sensitivity to climate risk. The process was designed to be hierarchical, with different stages or phases of analysis triggered based on the findings of the previous phase. An application example is provided followed by a descriptions of some of the tools available for decision making under uncertainty and methods available for climate risk management. The tool was designed for the World Bank but can be applicable in other scenarios where similar challenges arise.
Publisher: World Bank Publications
ISBN: 1464804788
Category : Business & Economics
Languages : en
Pages : 149
Book Description
Confronting Climate Uncertainty in Water Resources Planning and Project Design describes an approach to facing two fundamental and unavoidable issues brought about by climate change uncertainty in water resources planning and project design. The first is a risk assessment problem. The second relates to risk management. This book provides background on the risks relevant in water systems planning, the different approaches to scenario definition in water system planning, and an introduction to the decision-scaling methodology upon which the decision tree is based. The decision tree is described as a scientifically defensible, repeatable, direct and clear method for demonstrating the robustness of a project to climate change. While applicable to all water resources projects, it allocates effort to projects in a way that is consistent with their potential sensitivity to climate risk. The process was designed to be hierarchical, with different stages or phases of analysis triggered based on the findings of the previous phase. An application example is provided followed by a descriptions of some of the tools available for decision making under uncertainty and methods available for climate risk management. The tool was designed for the World Bank but can be applicable in other scenarios where similar challenges arise.
Risk-sharing in the Pharmaceutical Industry
Author: Gerrit Reepmeyer
Publisher: Springer Science & Business Media
ISBN: 379081668X
Category : Business & Economics
Languages : en
Pages : 306
Book Description
The productivity in pharmaceutical research and development faces intense pres sure. R&D expenditures of the major US and European companies have topped US$ 33 billion in 2003 compared to around US$ 13 billion just a decade ago. At the same time, the number of new drug approvals has dropped from 53 in 1996 to only 35 in 2003. Moreover, the protraction of clinical trials has significantly reduced the effective time of patent protection. The consequences are devastating. Monopoly profits have started to decline and the average costs per new drug have reached a re cord level of close to US$ 1 billion today. As a result, any failure of a new sub stance in the R&D process can lead to considerable losses, and the risks of introduc ing a new drug to the market have grown tremendously. Particularly if a company is highly dependent on just a handful of mega-selling blockbuster drugs, the risks can be even greater. For example, Pfizer generated about 90% of its worldwide revenues in 2002 with just 8 products. Any shortfall of a promising late-stage drug candidate would have left Pfizer with a gaping hole in its product portfolio. In order to deal with these risks, many pharmaceutical companies have started to organize their R&D in partnership. In fact, more than 600 alliances in pharmaceutical R&D are signed every year.
Publisher: Springer Science & Business Media
ISBN: 379081668X
Category : Business & Economics
Languages : en
Pages : 306
Book Description
The productivity in pharmaceutical research and development faces intense pres sure. R&D expenditures of the major US and European companies have topped US$ 33 billion in 2003 compared to around US$ 13 billion just a decade ago. At the same time, the number of new drug approvals has dropped from 53 in 1996 to only 35 in 2003. Moreover, the protraction of clinical trials has significantly reduced the effective time of patent protection. The consequences are devastating. Monopoly profits have started to decline and the average costs per new drug have reached a re cord level of close to US$ 1 billion today. As a result, any failure of a new sub stance in the R&D process can lead to considerable losses, and the risks of introduc ing a new drug to the market have grown tremendously. Particularly if a company is highly dependent on just a handful of mega-selling blockbuster drugs, the risks can be even greater. For example, Pfizer generated about 90% of its worldwide revenues in 2002 with just 8 products. Any shortfall of a promising late-stage drug candidate would have left Pfizer with a gaping hole in its product portfolio. In order to deal with these risks, many pharmaceutical companies have started to organize their R&D in partnership. In fact, more than 600 alliances in pharmaceutical R&D are signed every year.
Finance for Engineers
Author: Frank Crundwell
Publisher: Springer Science & Business Media
ISBN: 1848000332
Category : Technology & Engineering
Languages : en
Pages : 633
Book Description
With flair and an originality of approach, Crundwell brings his considerable experience to bear on this crucial topic. Uniquely, this book discusses the technical and financial aspects of decision-making in engineering and demonstrates these through case studies. It’s a hugely important matter as, of course, engineering solutions and financial decisions are intimately tied together. The best engineers combine the technical and financial cases in determining new solutions to opportunities, challenges and problems. To get your project approved, no matter the size of it, the financial case must be clear and compelling. This book provides a framework for engineers and scientists to undertake financial evaluations and assessments of engineering or production projects.
Publisher: Springer Science & Business Media
ISBN: 1848000332
Category : Technology & Engineering
Languages : en
Pages : 633
Book Description
With flair and an originality of approach, Crundwell brings his considerable experience to bear on this crucial topic. Uniquely, this book discusses the technical and financial aspects of decision-making in engineering and demonstrates these through case studies. It’s a hugely important matter as, of course, engineering solutions and financial decisions are intimately tied together. The best engineers combine the technical and financial cases in determining new solutions to opportunities, challenges and problems. To get your project approved, no matter the size of it, the financial case must be clear and compelling. This book provides a framework for engineers and scientists to undertake financial evaluations and assessments of engineering or production projects.
Project Management for Facility Constructions
Author: Alberto De Marco
Publisher: Springer
ISBN: 3319754327
Category : Technology & Engineering
Languages : en
Pages : 203
Book Description
This book describes principles, quantitative methods and techniques for financing, planning, and managing projects to develop a variety of constructed facilities in the fields of oil & gas, power, infrastructure, architecture and the commercial building industries. It is addressed to a broad range of professionals willing to improve their project management skills and designed to help newcomers to the engineering and construction industry understand how to apply project management to field practice. Also, it makes project management disciplines accessible to experts in technical areas of engineering and construction. In education, this text is suitable for undergraduate and graduate classes in architecture, engineering and construction management, as well as for specialist and professional courses in project management.
Publisher: Springer
ISBN: 3319754327
Category : Technology & Engineering
Languages : en
Pages : 203
Book Description
This book describes principles, quantitative methods and techniques for financing, planning, and managing projects to develop a variety of constructed facilities in the fields of oil & gas, power, infrastructure, architecture and the commercial building industries. It is addressed to a broad range of professionals willing to improve their project management skills and designed to help newcomers to the engineering and construction industry understand how to apply project management to field practice. Also, it makes project management disciplines accessible to experts in technical areas of engineering and construction. In education, this text is suitable for undergraduate and graduate classes in architecture, engineering and construction management, as well as for specialist and professional courses in project management.
The Standard for Risk Management in Portfolios, Programs, and Projects
Author: Project Management Institute
Publisher: Project Management Institute
ISBN: 1628255668
Category : Business & Economics
Languages : en
Pages : 218
Book Description
This is an update and expansion upon PMI's popular reference, The Practice Standard for Project Risk Management. Risk Management addresses the fact that certain events or conditions may occur with impacts on project, program, and portfolio objectives. This standard will: identify the core principles for risk management; describe the fundamentals of risk management and the environment within which it is carried out; define the risk management life cycle; and apply risk management principles to the portfolio, program, and project domains within the context of an enterprise risk management approach It is primarily written for portfolio, program, and project managers, but is a useful tool for leaders and business consumers of risk management, and other stakeholders.
Publisher: Project Management Institute
ISBN: 1628255668
Category : Business & Economics
Languages : en
Pages : 218
Book Description
This is an update and expansion upon PMI's popular reference, The Practice Standard for Project Risk Management. Risk Management addresses the fact that certain events or conditions may occur with impacts on project, program, and portfolio objectives. This standard will: identify the core principles for risk management; describe the fundamentals of risk management and the environment within which it is carried out; define the risk management life cycle; and apply risk management principles to the portfolio, program, and project domains within the context of an enterprise risk management approach It is primarily written for portfolio, program, and project managers, but is a useful tool for leaders and business consumers of risk management, and other stakeholders.
Multidisciplinary Functions of Blockchain Technology in AI and IoT Applications
Author: Chowdhury, Niaz
Publisher: IGI Global
ISBN: 1799858774
Category : Computers
Languages : en
Pages : 255
Book Description
Blockchain technology allows value exchange without the need for a central authority and ensures trust powered by its decentralized architecture. As such, the growing use of the internet of things (IoT) and the rise of artificial intelligence (AI) are to be benefited immensely by this technology that can offer devices and applications data security, decentralization, accountability, and reliable authentication. Bringing together blockchain technology, AI, and IoT can allow these tools to complement the strengths and weaknesses of the others and make systems more efficient. Multidisciplinary Functions of Blockchain Technology in AI and IoT Applications deliberates upon prospects of blockchain technology using AI and IoT devices in various application domains. This book contains a comprehensive collection of chapters on machine learning, IoT, and AI in areas that include security issues of IoT, farming, supply chain management, predictive analytics, and natural languages processing. While highlighting these areas, the book is ideally intended for IT industry professionals, students of computer science and software engineering, computer scientists, practitioners, stakeholders, researchers, and academicians interested in updated and advanced research surrounding the functions of blockchain technology in AI and IoT applications across diverse fields of research.
Publisher: IGI Global
ISBN: 1799858774
Category : Computers
Languages : en
Pages : 255
Book Description
Blockchain technology allows value exchange without the need for a central authority and ensures trust powered by its decentralized architecture. As such, the growing use of the internet of things (IoT) and the rise of artificial intelligence (AI) are to be benefited immensely by this technology that can offer devices and applications data security, decentralization, accountability, and reliable authentication. Bringing together blockchain technology, AI, and IoT can allow these tools to complement the strengths and weaknesses of the others and make systems more efficient. Multidisciplinary Functions of Blockchain Technology in AI and IoT Applications deliberates upon prospects of blockchain technology using AI and IoT devices in various application domains. This book contains a comprehensive collection of chapters on machine learning, IoT, and AI in areas that include security issues of IoT, farming, supply chain management, predictive analytics, and natural languages processing. While highlighting these areas, the book is ideally intended for IT industry professionals, students of computer science and software engineering, computer scientists, practitioners, stakeholders, researchers, and academicians interested in updated and advanced research surrounding the functions of blockchain technology in AI and IoT applications across diverse fields of research.
Risk and Decision Analysis in Projects
Author: John R. Schuyler
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 294
Book Description
Some of Schuyler's tried-and-true tips include: - The single-point estimate is almost always wrong, so that it is always better to express judgments as ranges. A probability distribution completely expresses someone's judgment about the likelihood of values within the range.- We often need a single-value cost or other assessment, and the expected value (mean) of the distribution is the only unbiased predictor. Expected value is the probability-weighted average, and this statistical idea is the cornerstone of decision analysis.- Some decisions are easy, perhaps aided by quick decision tree calculations on the back of an envelope. Decision dilemmas typically involve risky outcomes, many factors, and the best alternatives having comparable value. We only need analysis sufficient to confidently identify the best alternative. As soon as you know what to do, stop the analysis!- Be alert to ways to beneficially change project risks. We can often eliminate, avoid, transfer, or mitigate threats in some way. Get to know the people who make their living helping managers sidestep risk. They include insurance agents, partners, turnkey contractors, accountants, trainers, and safety personnel.
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 294
Book Description
Some of Schuyler's tried-and-true tips include: - The single-point estimate is almost always wrong, so that it is always better to express judgments as ranges. A probability distribution completely expresses someone's judgment about the likelihood of values within the range.- We often need a single-value cost or other assessment, and the expected value (mean) of the distribution is the only unbiased predictor. Expected value is the probability-weighted average, and this statistical idea is the cornerstone of decision analysis.- Some decisions are easy, perhaps aided by quick decision tree calculations on the back of an envelope. Decision dilemmas typically involve risky outcomes, many factors, and the best alternatives having comparable value. We only need analysis sufficient to confidently identify the best alternative. As soon as you know what to do, stop the analysis!- Be alert to ways to beneficially change project risks. We can often eliminate, avoid, transfer, or mitigate threats in some way. Get to know the people who make their living helping managers sidestep risk. They include insurance agents, partners, turnkey contractors, accountants, trainers, and safety personnel.
Taxmann's Financial Management | Theory | Problems | Cases – Blend of theory & practical application, following a business-oriented approach enabling readers to analyze company reports effectively
Author: Ravi M. Kishore
Publisher: Taxmann Publications Private Limited
ISBN: 935778084X
Category : Education
Languages : en
Pages : 45
Book Description
This book adopts an enhanced business-oriented methodology for teaching and learning financial management. Aimed at fostering an in-depth and comprehensive understanding of the subject, it takes a holistic approach that melds theory with practical applications to real-world scenarios. The structure of this book is meticulously designed to elaborate on the diverse principles and techniques of financial management. Upon completion, readers will be equipped to scrutinize the annual reports of various companies and analyze the information more effectively. This book is designed for individuals seeking to understand financial management's core principles and theories. Primarily, it is tailored for postgraduate students enrolled in business schools. Additionally, undergraduate students pursuing B.Com. (Hons.), B.Com. (Prog.), and B.A. (Prog.) from various universities and professional institutes will also find this book beneficial. The Present Publication is the 9th Edition, authored by Ravi M. Kishore and Prof. (Dr) Padma Sai Arora, with the following noteworthy features: • [Principles and Techniques of Financial Management] are explained in a detailed manner • [Easy-to-understand Style] has been followed throughout the book to explain the concepts in detail • [Extensive Descriptive Explanations] are presented in this book, followed by figures and diagrams • [Cases to Prepare the Base for Financial Principles and Concepts] is included in each of the six parts • [Case Studies] at the end of each chapter is easy to relate to and has been prepared to make way for discussions • [Solved Miscellaneous Illustrations] are given for better understanding • [Practice Questions] Readers can test their knowledge after going through each chapter by solving practice questions • [Multiple Choice Questions (MCQs)] have also been incorporated to help prepare for quiz/assignment • [Learning in line with Industry Trends] has been incorporated in this book by giving annual reports of different companies The chapter-wise schematics of the book are as follows: • Learning Outcomes • Case Study • Concepts • Keywords • Summary • Miscellaneous Illustrations • Review Questions o True or False o Choose the Correct Word o Choose the Correct Answer o Discussion Questions • Practical Exercises • Case Study The detailed contents of the book are as follows: • Essentials of Financial Management o Financial Management – An Overview o Basic Valuation Concepts – Time Value of Money, Interest Rates, Valuation of Bonds and Risk-Return Analysis o Strategic Financial Planning • Analysis of Financial Position o Analysis of Financial Statements o State of Changes in Financial Position – Fund Flow Analysis o Financial Statement Analysis using Cash Flow Analysis o Financial Statement Analysis using Ratio Analysis o Financial Statement Analysis using Economic Value Added o Financial Statement Analysis using Financial and Operating Ratios • Investment Decision o Capital Budgeting o Risk Evaluation in Capital Budgeting • Financing Decisions o Cost of Capital and Impact on Firm's Earnings Per Share (EPS) o Capital Structure Theories and Value of Firm • Dividend Decisions o Dividend Theories and Value of Firm • Working Capital Management o Basics of Working Capital o Estimating Working Capital o Inventory Management o Receivables Management o Cash Management
Publisher: Taxmann Publications Private Limited
ISBN: 935778084X
Category : Education
Languages : en
Pages : 45
Book Description
This book adopts an enhanced business-oriented methodology for teaching and learning financial management. Aimed at fostering an in-depth and comprehensive understanding of the subject, it takes a holistic approach that melds theory with practical applications to real-world scenarios. The structure of this book is meticulously designed to elaborate on the diverse principles and techniques of financial management. Upon completion, readers will be equipped to scrutinize the annual reports of various companies and analyze the information more effectively. This book is designed for individuals seeking to understand financial management's core principles and theories. Primarily, it is tailored for postgraduate students enrolled in business schools. Additionally, undergraduate students pursuing B.Com. (Hons.), B.Com. (Prog.), and B.A. (Prog.) from various universities and professional institutes will also find this book beneficial. The Present Publication is the 9th Edition, authored by Ravi M. Kishore and Prof. (Dr) Padma Sai Arora, with the following noteworthy features: • [Principles and Techniques of Financial Management] are explained in a detailed manner • [Easy-to-understand Style] has been followed throughout the book to explain the concepts in detail • [Extensive Descriptive Explanations] are presented in this book, followed by figures and diagrams • [Cases to Prepare the Base for Financial Principles and Concepts] is included in each of the six parts • [Case Studies] at the end of each chapter is easy to relate to and has been prepared to make way for discussions • [Solved Miscellaneous Illustrations] are given for better understanding • [Practice Questions] Readers can test their knowledge after going through each chapter by solving practice questions • [Multiple Choice Questions (MCQs)] have also been incorporated to help prepare for quiz/assignment • [Learning in line with Industry Trends] has been incorporated in this book by giving annual reports of different companies The chapter-wise schematics of the book are as follows: • Learning Outcomes • Case Study • Concepts • Keywords • Summary • Miscellaneous Illustrations • Review Questions o True or False o Choose the Correct Word o Choose the Correct Answer o Discussion Questions • Practical Exercises • Case Study The detailed contents of the book are as follows: • Essentials of Financial Management o Financial Management – An Overview o Basic Valuation Concepts – Time Value of Money, Interest Rates, Valuation of Bonds and Risk-Return Analysis o Strategic Financial Planning • Analysis of Financial Position o Analysis of Financial Statements o State of Changes in Financial Position – Fund Flow Analysis o Financial Statement Analysis using Cash Flow Analysis o Financial Statement Analysis using Ratio Analysis o Financial Statement Analysis using Economic Value Added o Financial Statement Analysis using Financial and Operating Ratios • Investment Decision o Capital Budgeting o Risk Evaluation in Capital Budgeting • Financing Decisions o Cost of Capital and Impact on Firm's Earnings Per Share (EPS) o Capital Structure Theories and Value of Firm • Dividend Decisions o Dividend Theories and Value of Firm • Working Capital Management o Basics of Working Capital o Estimating Working Capital o Inventory Management o Receivables Management o Cash Management