{"title":"World Scientific Series In Finance","description":"\u003cp\u003eDelve into the World Scientific Series in Finance, an essential collection for academics and professionals. Explore cutting-edge research and practical applications in investment, economics, and financial modelling.\u003c\/p\u003e","products":[{"product_id":"sports-analytics-book-leonard-c-maclean-9789811247521","title":"Sports Analytics","description":"This book is a collection of applications of analytic techniques to a number of popular sports including baseball, basketball, hockey, Jai Alai, NFL football and horseracing. We focus on both the statistics of the sporting events and betting strategies on the events. 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The focus of the book is on finance and economics, but it also illustrates the use of quantitative analysis and data science in many different areas. Lastly, the book includes practical information on how to store and process data and provides a framework for data driven reasoning about the world.The book begins with entertaining tales from Graham Giller's career in finance, starting with speculating in UK government bonds at the Oxford Post Office, accidentally creating a global instant messaging system that went 'viral' before anybody knew what that meant, on being the person who forgot to hit 'enter' to run a hundred-million dollar statistical arbitrage system, what he decoded from his brief time spent with Jim Simons, and giving Michael Bloomberg a tutorial on Granger Causality.The majority of the content is a narrative of analytic work done on financial, economics, and alternative data, structured around both Dr Giller's professional career and some of the things that just interested him. 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The book can be recommended to anyone interested in the Bond Stock Earnings Yield Differential model, and similar methods to predict crashes.\"Quantitative FinanceThis book presents studies of stock market crashes big and small that occur from bubbles bursting or other reasons. By a bubble we mean that prices are rising just because they are rising and that prices exceed fundamental values. A bubble can be a large rise in prices followed by a steep fall. The focus is on determining if a bubble actually exists, on models to predict stock market declines in bubble-like markets and exit strategies from these bubble-like markets. We list historical great bubbles of various markets over hundreds of years.We present four models that have been successful in predicting large stock market declines of ten percent plus that average about minus twenty-five percent. The bond stock earnings yield difference model was based on the 1987 US crash where the S\u0026amp;P 500 futures fell 29% in one day. 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Other large decline prediction models are call option prices exceeding put prices, Warren Buffett's value of the stock market to the value of the economy adjusted using BSEYD ideas and the value of Sotheby's stock. Investors expect more declines than actually occur. We present research on the positive effects of FOMC meetings and small cap dominance with Democratic Presidents. Marty Zweig was a wall street legend while he was alive. We discuss his methods for stock market predictability using momentum and FED actions. These helped him become the leading analyst and we show that his ideas still give useful predictions in 2016-2017. We study small declines in the five to fifteen percent range that are either not expected or are expected but when is not clear. For these we present methods to deal with these situations.The last four January-February 2016, Brexit, Trump and French elections are analzyed using simple volatility-S\u0026amp;P 500 graphs. 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Topics such as stock market crash predictions, asset liability planning models, various players in financial markets and the evaluation of the greatest investors are also discussed.The book presents tools and case studies of real applications for analyzing a wide variety of investment returns and better assessing the risks which many investors have preferred to ignore in the search of returns. 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The author, a successful and experienced trader, who among other things won the 2015 battle of the quants futures contest held in New York, shares how one can navigate today's dangerous financial markets and be successful. Readers at all levels will benefit from his analysis and many real life examples and experiences. The coverage is broad and there is considerable discussion on ways to stay out of trouble, protect oneself and grow one's assets. The author was the first one to do turn of the year January effect trades in the futures markets starting in the beginning of S\u0026amp;P 500 futures trading in 1982. That has been successful and the author explains his ideas and experiences from the beginning in simple markets to the current, very complex markets we have in 2017.The author discusses the various ways that traders and investors lose money in the financial markets. 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Many mini crashes including the January-February 2016, Brexit, Trump and French elections that are plausible but largely unpredictable are described and how they were dealt with successfully.Along with ways to deal with them, investment in top quality racehorses, oriental carpets, real estate and other interesting investments are covered. The author was instrumental in viewing racing as a stock market. The ideas are used by the top racing syndicates as well as hedge funds.The book proceeds by weaving these aspects of the financial markets in the modern era into a story of the author's academic, professional and personal life. This is told through the people he met and worked with and the academic and personal travel he had all over the world this past half century. The text is simply written with details, sources and references in the notes of each chapter. Details of various important events and how they evolved are described. 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The applications, which were presented at the 12th International Conference on Stochastic Programming held in Halifax, Nova Scotia in August 2010, span the rich field of uses of these models. The finance papers discuss such diverse problems as longevity risk management of individual investors, personal financial planning, intertemporal surplus management, asset management with benchmarks, dynamic portfolio management, fixed income immunization and racetrack betting. The production and logistics papers discuss natural gas infrastructure design, farming Atlantic salmon, prevention of nuclear smuggling and sawmill planning. The energy papers involve electricity production planning, hydroelectric reservoir operations and power generation planning for liquid natural gas plants. 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But that order results primarily from the predictable irrationality of investors, as well as from people's uncoordinated attempts to profit. The market patterns that result do not rely on rationality or efficiency. A framework is developed for understanding financial markets using a combination of psychology, statistics, game and gambling analysis, market history and the author's experience. It expresses analytically how professional investors and traders think about markets - as games in which other participants employ inferior, partially predictable strategies. Those strategies' interactions can be toxic and lead to booms, bubbles, busts and crashes, or can be less dramatic, leading to various patterns that are mistakenly called market inefficiencies and stylized facts. A logical case is constructed, starting from two foundations, the psychology of human decision making and the Fundamental Laws of Gambling. Applying the Fundamental Laws to trading leads to the idea of gambling rationality (grationality), replacing the efficient market's concept of rationality. By classifying things that are likely to have semi-predictable price impacts (price distorters), one can identify, explore through data analysis, and create winning trading ideas and systems. A structured way of doing all this is proposed: the six-step Strategic Analysis of Market Method. Examples are given in this and Volume 2. Volume 2 of The Strategic Analysis of Financial Markets - Trading System Analytics, continues the development of Volume 1 by introducing tools and techniques for developing trading systems and by illustrating them using real markets. The difference between these two Volumes and the rest of the literature is its rigor. It describes trading as a form of gambling that when properly executed, is quite logical, and is well known to professional gamblers and analytical traders. But even those elites might be surprised at the extent to which quantitative methods have been justified and applied, including a life cycle theory of trading systems. Apart from a few sections that develop background material, Volume 2 creates from scratch a trading system for Eurodollar futures using principles of the Strategic Analysis of Markets Method (SAMM), a principled, step-by-step approach to developing profitable trading systems. It has an entire Chapter on mechanical methods for testing and improvement of trading systems, which transcends the rather unstructured and unsatisfactory backtesting literature. It presents a breakout trend following system developed using factor models. It also presents a specific pairs trading system, and discusses its life cycle from an early, highly profitable period to its eventual demise. Recent developments in momentum trading and suggestions on improvements are also discussed.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":53080652153105,"sku":"NLS9789813142770","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9789813142770.jpg?v=1769910957"},{"product_id":"quantitative-finance-corporate-finance-and-investments-book-john-b-guerard-jr-9789819831074","title":"Quantitative Finance: Corporate Finance And Investments","description":"This monograph aims to educate and inspire advanced undergraduate and MBA students to consider quantitative finance as a career path. The risk-return tradeoff articulated by Harry Markowitz and William Sharpe applies not only to stocks and portfolios, but also to career decisions. As a result, coursework in Financial Engineering, Investments, and Corporate Finance can substantially enhance lifetime earnings. The financial and statistical techniques introduced in this monograph—such as optimization, regression, and time-series analysis—are highly rewarded in today's marketplace, where industry seeks intelligent, diligent, and professional candidates with strong academic performance. Using robust-regression-based stock selection models, this monograph estimates and analyzes the resulting Efficient Frontiers over the 1997-2020 period using the WRDS database, and over the 1997-2022 period using commercially available databases. These applied methodologies are highly valued by leading financial institutions.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ GARDNERS","offer_id":53478541590801,"sku":"NGR9789819831074","price":0.0,"currency_code":"GBP","in_stock":false}]}],"url":"https:\/\/www.worldofbooks.com\/en-gb\/collections\/world-scientific-series-in-finance-book-series.oembed","provider":"World of Books ","version":"1.0","type":"link"}