Author : Paolo Sironi
Publisher :
Page : 204 pages
File Size : 24,47 MB
Release : 2015
Category : Investment analysis
ISBN : 9781782722045
Author : Farid Mohamadi
Publisher : Springer Nature
Page : 283 pages
File Size : 35,5 MB
Release : 2021-04-20
Category : Business & Economics
ISBN : 3030687406
What is project finance? What makes project or structured finance so relevant for large renewable energy infrastructure? Which vocabulary do I need to know in order to speak the same language during meetings with lawyers, investors, bankers and engineers? These questions and many more are answered throughout this book, offering real world examples to bridge the gap between theory and practice. The book details the role of each stakeholder in the development of renewable energy projects, the interconnection between all the agreements, the financial process from fundraising to financial close, the processes of due diligence, risk analysis, project investment valuation and much more. It also provides with an introduction to Portfolio Management using renewable energy assets and an explanation of the role of Climate Finance in green energy investments. The commented glossary enables readers to unpick the jargon used in project finance for renewable energy, and the numerous creative figures and comprehensive tables aid with understanding. Offering a complete picture of the discipline, Introduction to Project Finance in Renewable Energy Infrastructure will be of value to professionals, engineers and academics alike interested in understanding the process and components of project finance in renewable energy infrastructures, in both private and public-private contexts.
Author : Paolo Sironi
Publisher : John Wiley & Sons
Page : 199 pages
File Size : 33,91 MB
Release : 2016-09-26
Category : Business & Economics
ISBN : 1119226988
A survival guide for the FinTech era of banking FinTech Innovation examines the rise of financial technology and its growing impact on the global banking industry. Wealth managers are standing at the epicenter of a tectonic shift, as the balance of power between offering and demand undergoes a dramatic upheaval. Regulators are pushing toward a 'constrained offering' norm while private clients and independent advisors demand a more proactive role; practitioners need examine this banking evolution in detail to understand the mechanisms at work. This book presents analysis of the current shift and offers clear insight into what happens when established economic interests collide with social transformation. Business models are changing in profound ways, and the impact reaches further than many expect; the democratization of banking is revolutionizing the wealth management industry toward more efficient and client-centric advisory processes, and keeping pace with these changes has become a survival skill for financial advisors around the world. Social media, big data analytics and digital technology are disrupting the banking industry, which many have taken for granted as set in stone. This book shatters that assumption by illustrating the massive changes already underway, and provides thought leader insight into the changes yet to come. Examine the depth and breadth of financial technology Learn how regulations are driving changing business models Discover why investors may become the price-makers Understand the forces at work behind the rise of FinTech Information asymmetry has dominated the banking industry for centuries, keeping the bank/investor liability neatly aligned—but this is changing, and understanding and preparing for the repercussions must be a top priority for wealth managers everywhere. Financial Innovation shows you where the bar is being re-set and gives you the insight you need to keep up.
Author : Jean L. P. Brunel
Publisher : John Wiley & Sons
Page : 272 pages
File Size : 20,3 MB
Release : 2015-02-20
Category : Business & Economics
ISBN : 1118995937
Take a more active role in strategic asset allocation Goals-Based Wealth Management is a manual for protecting and growing client wealth in a way that changes both the services and profitability of the firm. Written by a 35-year veteran of international wealth education and analysis, this informative guide explains a new approach to wealth management that allows individuals to take on a more active role in the allocation of their assets. Coverage includes a detailed examination of the goals-based approach, including what works and what needs to be revisited, and a clear, understandable model that allows advisors to help individuals to navigate complex processes. The companion website offers ancillary readings, practice management checklists, and assessments that help readers secure a deep understanding of the key ideas that make goals-based wealth management work. The goals-based wealth management approach was pioneered in 2002, but has seen a slow evolution and only modest refinements largely due to a lack of wide-scale adoption. This book takes the first steps toward finalizing the approach, by delineating the effective and ineffective aspects of traditional approaches, and proposing changes that could bring better value to practitioners and their clients. Understand the challenges faced by the affluent and wealthy Examine strategic asset allocation and investment policy formulation Learn a model for dealing with the asset allocation process Learn why the structure of the typical advisory firm needs to change High-net-worth individuals face very specific challenges. Goals-Based Wealth Management focuses on how those challenges can be overcome while adhering to their goals, incorporating constraints, and working within the individual's frame of reference to drive strategic allocation of their financial assets.
Author : Richard O. Michaud
Publisher : Oxford University Press
Page : 207 pages
File Size : 29,30 MB
Release : 2008-03-03
Category : Business & Economics
ISBN : 0199887195
In spite of theoretical benefits, Markowitz mean-variance (MV) optimized portfolios often fail to meet practical investment goals of marketability, usability, and performance, prompting many investors to seek simpler alternatives. Financial experts Richard and Robert Michaud demonstrate that the limitations of MV optimization are not the result of conceptual flaws in Markowitz theory but unrealistic representation of investment information. What is missing is a realistic treatment of estimation error in the optimization and rebalancing process. The text provides a non-technical review of classical Markowitz optimization and traditional objections. The authors demonstrate that in practice the single most important limitation of MV optimization is oversensitivity to estimation error. Portfolio optimization requires a modern statistical perspective. Efficient Asset Management, Second Edition uses Monte Carlo resampling to address information uncertainty and define Resampled Efficiency (RE) technology. RE optimized portfolios represent a new definition of portfolio optimality that is more investment intuitive, robust, and provably investment effective. RE rebalancing provides the first rigorous portfolio trading, monitoring, and asset importance rules, avoiding widespread ad hoc methods in current practice. The Second Edition resolves several open issues and misunderstandings that have emerged since the original edition. The new edition includes new proofs of effectiveness, substantial revisions of statistical estimation, extensive discussion of long-short optimization, and new tools for dealing with estimation error in applications and enhancing computational efficiency. RE optimization is shown to be a Bayesian-based generalization and enhancement of Markowitz's solution. RE technology corrects many current practices that may adversely impact the investment value of trillions of dollars under current asset management. RE optimization technology may also be useful in other financial optimizations and more generally in multivariate estimation contexts of information uncertainty with Bayesian linear constraints. Michaud and Michaud's new book includes numerous additional proposals to enhance investment value including Stein and Bayesian methods for improved input estimation, the use of portfolio priors, and an economic perspective for asset-liability optimization. Applications include investment policy, asset allocation, and equity portfolio optimization. A simple global asset allocation problem illustrates portfolio optimization techniques. A final chapter includes practical advice for avoiding simple portfolio design errors. With its important implications for investment practice, Efficient Asset Management 's highly intuitive yet rigorous approach to defining optimal portfolios will appeal to investment management executives, consultants, brokers, and anyone seeking to stay abreast of current investment technology. Through practical examples and illustrations, Michaud and Michaud update the practice of optimization for modern investment management.
Author : Evgueni D. Solojentsev
Publisher : Springer Science & Business Media
Page : 397 pages
File Size : 25,93 MB
Release : 2006-07-21
Category : Business & Economics
ISBN : 1402029780
In this volume the methodological aspects of the scenario logic and probabilistic (LP) non-success risk management are considered. The theoretical bases of scenario non-success risk LP-management in business and engineering are also stated. Methods and algorithms for the scenario risk LP-management in problems of classification, investment and effectiveness are described. Risk LP- models and results of numerical investigations for credit risks, risk of frauds, security portfolio risk, risk of quality, accuracy, and risk in multi-stage systems reliability are given. In addition, a rather large number of new problems of estimation, analysis and management of risk are considered. Software for risk problems based on LP-methods, LP-theory, and GIE is described too.
Author : Wang, Leon Shyue-Liang
Publisher : IGI Global
Page : 516 pages
File Size : 12,65 MB
Release : 2010-03-31
Category : Computers
ISBN : 1615207589
"This book provides a reference to researchers, practitioners, and students in both soft computing and data mining communities for generating creative ideas of securing and managing data mining"--Provided by publisher.
Author : John Y. Campbell
Publisher : OUP Oxford
Page : 272 pages
File Size : 31,98 MB
Release : 2002-01-03
Category : Business & Economics
ISBN : 019160691X
Academic finance has had a remarkable impact on many financial services. Yet long-term investors have received curiously little guidance from academic financial economists. Mean-variance analysis, developed almost fifty years ago, has provided a basic paradigm for portfolio choice. This approach usefully emphasizes the ability of diversification to reduce risk, but it ignores several critically important factors. Most notably, the analysis is static; it assumes that investors care only about risks to wealth one period ahead. However, many investors—-both individuals and institutions such as charitable foundations or universities—-seek to finance a stream of consumption over a long lifetime. In addition, mean-variance analysis treats financial wealth in isolation from income. Long-term investors typically receive a stream of income and use it, along with financial wealth, to support their consumption. At the theoretical level, it is well understood that the solution to a long-term portfolio choice problem can be very different from the solution to a short-term problem. Long-term investors care about intertemporal shocks to investment opportunities and labor income as well as shocks to wealth itself, and they may use financial assets to hedge their intertemporal risks. This should be important in practice because there is a great deal of empirical evidence that investment opportunities—-both interest rates and risk premia on bonds and stocks—-vary through time. Yet this insight has had little influence on investment practice because it is hard to solve for optimal portfolios in intertemporal models. This book seeks to develop the intertemporal approach into an empirical paradigm that can compete with the standard mean-variance analysis. The book shows that long-term inflation-indexed bonds are the riskless asset for long-term investors, it explains the conditions under which stocks are safer assets for long-term than for short-term investors, and it shows how labor income influences portfolio choice. These results shed new light on the rules of thumb used by financial planners. The book explains recent advances in both analytical and numerical methods, and shows how they can be used to understand the portfolio choice problems of long-term investors.
Author : Renata Mansini
Publisher : Springer
Page : 131 pages
File Size : 16,29 MB
Release : 2015-06-10
Category : Business & Economics
ISBN : 3319184822
This book presents solutions to the general problem of single period portfolio optimization. It introduces different linear models, arising from different performance measures, and the mixed integer linear models resulting from the introduction of real features. Other linear models, such as models for portfolio rebalancing and index tracking, are also covered. The book discusses computational issues and provides a theoretical framework, including the concepts of risk-averse preferences, stochastic dominance and coherent risk measures. The material is presented in a style that requires no background in finance or in portfolio optimization; some experience in linear and mixed integer models, however, is required. The book is thoroughly didactic, supplementing the concepts with comments and illustrative examples.
Author : Greg B. Davies
Publisher : McGraw Hill Professional
Page : 384 pages
File Size : 32,79 MB
Release : 2012-01-12
Category : Business & Economics
ISBN : 0071748350
The End of Modern Portfolio Theory Behavioral Investment Management proves what many have been thinking since the global economic downturn: Modern Portfolio Theory (MPT) is no longer a viable portfolio management strategy. Inherently flawed and based largely on ideology, MPT can not be relied upon in modern markets. Behavioral Investment Management offers a new approach-one addresses certain realities that MPT ignores, including the fact that emotions play a major role in investing. The authors lay out new standards reflecting behavioral finance and dynamic asset allocation, then explain how to apply these standards to your current portfolio construction efforts. They explain how to move away from the idealized, black-and-white world of MPT and into the real world of investing--placing heavy emphasis on the importance of mastering emotions. Behavioral Investment Management provides a portfolio-management standard for an investing world in disarray. PART 1- The Current Paradigm: MPT (Modern Portfolio Theory); Chapter 1: Modern Portfolio Theory as it Stands; Chapter 2: Challenges to MPT: Theoretical-the assumptions are not thus; Chapter 3: Challenges to MPT: Empirical-the world is not thus; Chapter 4: Challenges to MPT: Behavioural-people are not thus; Chapter 5: Describing the Overall Framework: Investors and Investments; PART 2- Amending MPT: Getting to BMPT; Chapter 1:Investors-The Rational Investor; Chapter 2: Investments-Extracting Value from the long-term; Chapter 3: Investments-Extracting Value from the short-term; Chapter 4: bringing it together, the new BMPT paradigm; PART 3- Emotional Insurance: Sticking with the Journey; Chapter 1: Investors- the emotional investor; Chapter 2: Investments- Constraining the rational portfolio; PART 4- Practical Implications; Chapter 1: The BMPT and Wealth Management; Chapter 2: The BMPT and the Pension Industry; Chapter 3: The BMPT and Asset Managemen
