Deep Dive Into Financial Models: Modeling Risk And Uncertainty

Deep Dive Into Financial Models: Modeling Risk And Uncertainty
Author: Mathieu Le Bellac
Publisher: World Scientific Publishing Company
Total Pages: 232
Release: 2016-11-14
Genre: Business & Economics
ISBN: 981314212X

Since 2007, the repeated financial crises around the world have brought to the headlines financial practices and models considered to fuel the economic instabilities. Deep Dive into Financial Models: Modeling Risk and Uncertainty comes handy in demystifying the underlying quantitative finance concepts. With a limited use of mathematical formalism, the book explains thoroughly the models, their hypotheses, principles and other building blocks. A particular care is given to model limitations and their misuse for investment strategies, asset pricing, or risk management. Its reader-friendly nature provides readers with a head start in quantitative finance.

A Practical Guide for Startup Valuation

A Practical Guide for Startup Valuation
Author: Sinem Derindere Köseoğlu
Publisher: Springer Nature
Total Pages: 307
Release: 2023-09-25
Genre: Business & Economics
ISBN: 3031352912

This book sheds new light on the most important contemporary and emerging startup valuation topics. Drawing on the first-hand professional experience of practitioners, professionals, and startup experts from various fields of finance, combined with a sound academic foundation, it offers a practical guide to startup valuation and presents applications, practical examples, and case studies of real startup ecosystems. The book discusses pressing questions, such as: Why are startups in California are higher valued than those in New York? Or why do startups based in London receive higher valuations than those in Paris, Berlin, or Milan, even when they are based in similarly-sized economies, share the same industries, and often even have the same investors? Answering these questions, the authors present key topics, such as hierarchical and segmented approaches to startup valuation, business plans, and sensitivity analysis, many methods such as venture capital valuation, first Chicago valuation, scorecard valuation, Dave Berkus valuation, risk factor summation valuation, and discounted cash flow valuation, in addition to business valuation by data envelopment analysis and real options analysis, as well as critical conceptual issues in the valuation such as expected returns of the venture capital and price versus value concepts, among others. The book will help angel investors, venture capitalists, institutional investors, crowd-based fractional investors, and investment fund professionals understand how to use basic and advanced analytics for a more precise valuation that helps them craft their long-term capital-raising strategy and keep their funding requests in perspective. It will also appeal to students and scholars of finance and business interested in a better understanding of startup valuation.

Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance

Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance
Author: El Bachir Boukherouaa
Publisher: International Monetary Fund
Total Pages: 35
Release: 2021-10-22
Genre: Business & Economics
ISBN: 1589063953

This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.

Handbook of Price Impact Modeling

Handbook of Price Impact Modeling
Author: Kevin T Webster
Publisher: CRC Press
Total Pages: 485
Release: 2023-05-05
Genre: Mathematics
ISBN: 1000877663

Handbook of Price Impact Modeling provides practitioners and students with a mathematical framework grounded in academic references to apply price impact models to quantitative trading and portfolio management. Automated trading is now the dominant form of trading across all frequencies. Furthermore, trading algorithm rise introduces new questions professionals must answer, for instance: How do stock prices react to a trading strategy? How to scale a portfolio considering its trading costs and liquidity risk? How to measure and improve trading algorithms while avoiding biases? Price impact models answer these novel questions at the forefront of quantitative finance. Hence, practitioners and students can use this Handbook as a comprehensive, modern view of systematic trading. For financial institutions, the Handbook’s framework aims to minimize the firm’s price impact, measure market liquidity risk, and provide a unified, succinct view of the firm’s trading activity to the C-suite via analytics and tactical research. The Handbook’s focus on applications and everyday skillsets makes it an ideal textbook for a master’s in finance class and students joining quantitative trading desks. Using price impact models, the reader learns how to: Build a market simulator to back test trading algorithms Implement closed-form strategies that optimize trading signals Measure liquidity risk and stress test portfolios for fire sales Analyze algorithm performance controlling for common trading biases Estimate price impact models using public trading tape Finally, the reader finds a primer on the database kdb+ and its programming language q, which are standard tools for analyzing high-frequency trading data at banks and hedge funds. Authored by a finance professional, this book is a valuable resource for quantitative researchers and traders.

Decision Making for the Net Zero Transformation: Considerations and New Methodological Approaches

Decision Making for the Net Zero Transformation: Considerations and New Methodological Approaches
Author: Mark Workman
Publisher: Frontiers Media SA
Total Pages: 154
Release: 2024-02-01
Genre: Science
ISBN: 2832544096

Special edition compiled in partnership with Frontiers sponsored by the Clean Air Task Force. The realisation of Net Zero by 2050 will require the ability for strategy developers, operational planners and decision makers to better manage uncertainty, complexity and emergence. The application of the orthodox set of decision support tools and processes that have been used to explore deep decarbonisation options to 2050 have blinded decision makers to uncertainty, complexity and emergence. Tools have often been used which are inappropriate to the types of decisions being made – a competency which has been glaringly revealed during the C-19 Pandemic. This Frontiers Research Topic will highlight the need for an interdisciplinary, mixed methods approach bringing together insights from modelling, decision science, psychology, anthropology, and sociology to form a compendium of current best practice for decision making for the net zero transformation and new research frontiers. Develop greater awareness amongst policymakers, practitioners and academics as to the importance of: • Understanding the nature of uncertainty when dealing with problems associated with the Net Zero Energy System Transformation; • Increasing importance of deliberative processes to map different value sets beyond least cost; • Acknowledging that decision making under uncertainty requires competency-based training leading to a full appreciation of the tasks at hand. Suggested areas within scope are listed in points 1-12 below. Authors are free to choose specific areas of interest, and to combine these where useful. In general, it will be useful to consider practical application of [ideas], e.g • development of `Use Cases’ and `Decision Making Contexts’ may be useful, e.g. National Govt establishing its Carbon Budget; Institution setting up its investment portfolio. • understanding of how decisions are being made within different jurisdictions, political cultures, and types of organizations (public/private). What is the role of `Decision Context' i.e. organisational decision-making structures, cultures, the role of zeitgeist and dominant narratives, or the relation between academic expertise and policy-makers. 1. Decision making from an end-to-end perspective and the need to take a holistic and interdisciplinary perspective [Editorial Cover Article]. 2. Gap between what policy makers and decision makers around net zero climate policy seek to address and what decision support tools can actually do. Why that gap is increasing (if it is)? 3. Understanding the nature of uncertainty when applying the relevant decision support tool and processes. Not all uncertainty can be addressed within the decision support tool itself. Role of optimism bias; potential role of least worst regret approaches etc 4. What different decision support tools can inform decision makers around net zero climate policy and need for a basket of tools. 5. Why parametric decision support tools and models are pre-eminent - the role of consolidative modelling and exploratory modelling. The inertia of modelling approaches: why it is so hard to break modelling paradigms? 6. What decision science informs us about how decisions are actually made - the importance of process, the role of transparency and deliberation with analysis. 7. Processes that address the biases identified in decision science and impact of identity politics on deliberative decision making. 8. Why decision making under deep uncertainty requires competency-based training, deep subject matter expertise and systemic knowledge. 9. Ministerial and policy making and the decision support requirements: US, EU, UK & China 10. The role of narratives and how uncertainty can be communicated to societal audiences. Storylines and other narrative approaches 11. How to develop participatory approaches allow multiple values, diversity of stakeholders in which climate communication and decision making exists in an iterative exchange with policy. We have started the journey e.g. the role of climate assemblies… what next? 12. Decision making under deep (climate) uncertainty by the financial sector We acknowledge the funding of the manuscripts published in this Research Topic by the Clean Air Task Force. We hereby state publicly that the Clean Air Task Force has had no editorial input in articles included in this Research Topic, thus ensuring that all aspects of this Research Topic are evaluated objectively, unbiased by any specific policy or opinion of the Clean Air Task Force.

Business Economics and Finance with MATLAB, GIS, and Simulation Models

Business Economics and Finance with MATLAB, GIS, and Simulation Models
Author: Patrick L. Anderson
Publisher: CRC Press
Total Pages: 514
Release: 2004-07-27
Genre: Mathematics
ISBN: 1135440948

This book takes recent theoretical advances in Finance and Economics and shows how they can be implemented in the real world. It presents tactics for using mathematical and simulation models to solve complex tasks of forecasting income, valuing businesses, predicting retail sales, and evaluating markets and tax and regulatory problems. Busine

Stochastic Calculus for Finance

Stochastic Calculus for Finance
Author: William Johnson
Publisher: HiTeX Press
Total Pages: 450
Release: 2024-10-17
Genre: Business & Economics
ISBN:

"Stochastic Calculus for Finance: A Practical Guide" offers an insightful exploration into the mathematical intricacies underpinning modern financial markets. Designed to demystify complex concepts, this comprehensive text bridges rigorous theory with application, crafting a resource that is as invaluable to students embarking on a financial career as it is to seasoned professionals seeking to enrich their analytical toolkit. Through an elegant synthesis of probability theory, stochastic processes, and advanced calculus, readers are introduced to the foundational frameworks that drive market analysis, derivative pricing, and portfolio optimization. This guide stands out by making sophisticated mathematical models accessible, without sacrificing depth or precision. By delving into topics such as Brownian motion, stochastic differential equations, and applications of machine learning, the book equips readers with the tools needed to navigate and innovate in the financial landscape. It elucidates the power of stochastic calculus in shaping strategies and solutions to real-world financial challenges, fostering a nuanced understanding of risk management and asset allocation. With its blend of theoretical insight and practical application, this book promises to be an essential companion for those dedicated to mastering the art and science of finance.