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The Algebra of Wealth: A Simple Formula for Financial Security
by Scott GallowayAN INSTANT #1 NEW YORK TIMES BESTSELLERA must-have guide to optimizing your life for wealth and success, from bestselling author, NYU professor, and cohost of the Pivot podcast Scott Galloway.Today&’s workers have more opportunities and mobility than any generation before. They also face unprecedented challenges, including inflation, labor and housing shortages, and climate volatility. Even the notion of retirement is undergoing a profound rethink, as our lifespans extend and our relationship with work evolves. In this environment, the tried-and-true financial advice our parents followed is no longer enough. It&’s time for a new playbook.In The Algebra of Wealth, Scott Galloway lays bare the rules of financial success in today&’s economy. In his characteristic unvarnished, no-BS style, he explains what you need to know in order to better your chances for economic security no matter what. You&’ll learn:How to find and follow your talent, not your passion, when making career decisionsHow to ride and optimize big economic waves (hard truth: market dynamics always trump individual achievement)What small steps you can take that pay big returns later, including diversification and tax planningHow stoicism can help you minimize spending and develop better financial habitsBrimming with wise, game-changing advice from one of the world&’s most popular business school professors, The Algebra of Wealth offers a powerful framework for making the most of what opportunities come your way.
Algebraic Modeling Systems: Modeling and Solving Real World Optimization Problems (Applied Optimization #104)
by Josef KallrathThis book Algebraic Modeling Systems - Modeling and Solving Real World Optimization Problems - deals with the aspects of modeling and solving real-world optimization problems in a unique combination. It treats systematically the major algebraic modeling languages (AMLs) and modeling systems (AMLs) used to solve mathematical optimization problems. AMLs helped significantly to increase the usage of mathematical optimization in industry. Therefore it is logical consequence that the GOR (Gesellschaft für Operations Research) Working Group Mathematical Optimization in Real Life had a second meeting devoted to AMLs, which, after 7 years, followed the original 71st Meeting of the GOR (Gesellschaft für Operations Research) Working Group Mathematical Optimization in Real Life which was held under the title Modeling Languages in Mathematical Optimization during April 23-25, 2003 in the German Physics Society Conference Building in Bad Honnef, Germany. While the first meeting resulted in the book Modeling Languages in Mathematical Optimization, this book is an offspring of the 86th Meeting of the GOR working group which was again held in Bad Honnef under the title Modeling Languages in Mathematical Optimization.
Algeria: Selected Issues (EPub)
by Middle East Gabriel Sensenbrenner Boileau LokoA report from the International Monetary Fund.
Algeria: 2003 Article IV Consultation--Staff Report; Staff Statement; Public Information Notice on the Executive Board Discussion; and Statement by the Executive Director for Algeria
by International Monetary FundFinancial report from the IMF
Algeria: 2005 Article IV Consultation--Staff Report; Staff Statement; Public Information Notice on the Executive Board Discussion; and Statement by the Executive Director for Algeria
by International Monetary FundFinancial report from the IMF
Algeria: 2006 Article IV Consultation--Staff Report; Public Information Notice on the Executive Board Discussion; and Statement by the Executive Director for Algeria.
by International Monetary FundFinancial report from the IMF
Algeria: Selected Issues
by International Monetary FundA report from the International Monetary Fund.
Algeria: Statistical Appendix
by International Monetary FundA report from the International Monetary Fund.
Algeria: Statistical Appendix
by International Monetary FundA report from the International Monetary Fund.
Algeria: 2009 Article IV Consultation--Staff Report; and Public Information Notice
by International Monetary FundFinancial report from the IMF
Algeria: Selected Issues (Imf Staff Country Reports #Country Report No. 14/342)
by International Monetary Fund. Middle East and Central Asia Dept.A report from the International Monetary Fund.
Algeria: Selected Issues Paper (Imf Staff Country Reports #Country Report No. 14/342)
by International Monetary Fund. Middle East and Central Asia Dept.A report from the International Monetary Fund.
Algeria: Report on the Observance of Standards and Codes--Fiscal Transparency Module
by Mohsin S. Khan Teresa Ter-MinassianA report from the International Monetary Fund.
Algeria: Stabilization and Transition to the Market
by Karim Nashashibi Patricia Alonso-Gamo Stefania Bazzoni Alain Féler Nicole Laframboise Sebastian Paris HorvitzThis paper offers Algeria's recent experience with macroeconomic stabilization and systemic transformation from a centrally planned to a market economy. the analyses focuses on the period since 1994 when Algeria embarked on a comprehensive reform program that has benefitted from IMF support, first through a one-year Stand-by Arrangement, and from May 1995, through a three-year arrangement under the Extended Fund Facility. to better understand this experience, this paper provides some background information on Algeria's political history and economic developments during the period preceding the Stand-By arrangement.
Algeria--The Real Exchange Rate, Export Diversification, and Trade Protection
by Piritta SorsaFinancial report from the IMF
Algo Bots and the Law: Technology, Automation, and the Regulation of Futures and Other Derivatives
by Gregory ScopinoThe trillion-dollar markets for futures, swaps, commodity options, and related derivatives are extremely important to the global economy because, among other things, they influence the prices that people pay for everything from heating oil and bread to the interest rates connected to mortgages and student loans. Due to technological advances in automation and artificial intelligence, these markets have recently undergone a dramatic transformation away from human-centered trading and operations to control by high-speed automated systems. In this work, Gregory Scopino explains how such changes present challenges to the oversight of these markets and discusses potential ways for authorities to address issues presented by computerized trading and related systems. This book should be read by anyone interested in learning how artificial intelligence is used in the financial markets and how those markets are - and should be - regulated.
The Algorithm: How AI Decides Who Gets Hired, Monitored, Promoted, and Fired and Why We Need to Fight Back Now
by Hilke SchellmannBased on exclusive information from whistleblowers, internal documents, and real world test results, Emmy‑award winning Wall Street Journal contributor Hilke Schellmann delivers a shocking and illuminating expose on the next civil rights issue of our time: how AI has already taken over the workplace and shapes our future. Hilke Schellmann, is an Emmy‑award winning investigative reporter, Wall Street Journal and Guardian contributor and Journalism Professor at NYU. In The Algorithm, she investigates the rise of artificial intelligence (AI) in the world of work. AI is now being used to decide who has access to an education, who gets hired, who gets fired, and who receives a promotion. Drawing on exclusive information from whistleblowers, internal documents and real‑world tests, Schellmann discovers that many of the algorithms making high‑stakes decisions are biased, racist, and do more harm than good. Algorithms are on the brink of dominating our lives and threaten our human future—if we don't fight back. Schellmann takes readers on a journalistic detective story testing algorithms that have secretly analyzed job candidates' facial expressions and tone of voice. She investigates algorithms that scan our online activity including Twitter and LinkedIn to construct personality profiles à la Cambridge Analytica. Her reporting reveals how employers track the location of their employees, the keystrokes they make, access everything on their screens and, during meetings, analyze group discussions to diagnose problems in a team. Even universities are now using predictive analytics for admission offers and financial aid.
Algorithm Portfolios: Advances, Applications, and Challenges (SpringerBriefs in Optimization)
by Dimitris Souravlias Konstantinos E. Parsopoulos Ilias S. Kotsireas Panos M. PardalosThis book covers algorithm portfolios, multi-method schemes that harness optimization algorithms into a joint framework to solve optimization problems. It is expected to be a primary reference point for researchers and doctoral students in relevant domains that seek a quick exposure to the field. The presentation focuses primarily on the applicability of the methods and the non-expert reader will find this book useful for starting designing and implementing algorithm portfolios. The book familiarizes the reader with algorithm portfolios through current advances, applications, and open problems. Fundamental issues in building effective and efficient algorithm portfolios such as selection of constituent algorithms, allocation of computational resources, interaction between algorithms and parallelism vs. sequential implementations are discussed. Several new applications are analyzed and insights on the underlying algorithmic designs are provided. Future directions, new challenges, and open problems in the design of algorithm portfolios and applications are explored to further motivate research in this field.
Algorithmic and High-Frequency Trading
by Álvaro Cartea Sebastian Jaimungal José PenalvaThe design of trading algorithms requires sophisticated mathematical models backed up by reliable data. <P><P> In this textbook, the authors develop models for algorithmic trading in contexts such as executing large orders, market making, targeting VWAP and other schedules, trading pairs or collection of assets, and executing in dark pools. These models are grounded on how the exchanges work, whether the algorithm is trading with better informed traders (adverse selection), and the type of information available to market participants at both ultra-high and low frequency. Algorithmic and High-Frequency Trading is the first book that combines sophisticated mathematical modelling, empirical facts and financial economics, taking the reader from basic ideas to cutting-edge research and practice. If you need to understand how modern electronic markets operate, what information provides a trading edge, and how other market participants may affect the profitability of the algorithms, then this is the book for you.
Algorithmic Architecture
by Kostas TerzidisWhy does the word design owe its origin to Latin and not Greek roots? Where do the limits of the human mind lie? How does ambiguity enter the deterministic world of computation? Who was Parmenides and why is his philosophy still puzzling today? This unique volume challenges the reader to tackle all these complex questions and more.Algorithmic Architecture is not a typical theory-based architectural book; it is not a computer programming or language tutorial book either. It contains a series of provocative design projects, and yet it is not just a design or graphic art book per se. Following the tradition of architecture as a conglomeration of various design fields - engineering, theory, art, and recently, computation - the challenge of this book is to present a concept that, like architecture, is a unifying theme for many diverse disciplines. An algorithm is not only a step-by-step problem-solving procedure, a series of lines of computer codes or a mechanistic linguistic expression, but is also an ontological construct with deep philosophical, social, design, and artistic repercussions. Consequently, this book presents many, various and often seemingly disparate points of view that lead to the establishment of one common theme; algorithmic architecture.
Algorithmic Aspects in Information and Management: 11th International Conference, AAIM 2016, Bergamo, Italy, July 18-20, 2016, Proceedings (Lecture Notes in Computer Science #9778)
by Riccardo Dondi Guillaume Fertin Giancarlo MauriThis volume constitutes the proceedings of the 11th International Conference on Algorithmic Aspects in Information and Management, AAIM 2016, held in Bergamo, Italy, in July 2016. The 18 revised full papers presented were carefully reviewed and selected from 41 submissions. The papers deal with current trends of research on algorithms, data structures, operation research, combinatorial optimization and their applications.
Algorithmic Bias in Marketing
by Ayelet Israeli Eva AscarzaThis note focuses on algorithmic bias in marketing. First, it presents a variety of marketing examples in which algorithmic bias may occur. The examples are organized around the 4 P's of marketing - promotion, price, place and product-characterizing the marketing decision that generates the bias and highlighting the consequences of such a bias. Then, it explains the potential causes of algorithmic bias and offers some solutions to mitigate or reduce this bias.
Algorithmic Decision Making with Python Resources: From Multicriteria Performance Records to Decision Algorithms via Bipolar-Valued Outranking Digraphs (International Series in Operations Research & Management Science #324)
by Raymond BisdorffThis book describes Python3 programming resources for implementing decision aiding algorithms in the context of a bipolar-valued outranking approach. These computing resources, made available under the name Digraph3, are useful in the field of Algorithmic Decision Theory and more specifically in outranking-based Multiple-Criteria Decision Aiding (MCDA). The first part of the book presents a set of tutorials introducing the Digraph3 collection of Python3 modules and its main objects, such as bipolar-valued digraphs and outranking digraphs. In eight methodological chapters, the second part illustrates multiple-criteria evaluation models and decision algorithms. These chapters are largely problem-oriented and demonstrate how to edit a new multiple-criteria performance tableau, how to build a best choice recommendation, how to compute the winner of an election and how to make rankings or ratings using incommensurable criteria. The book’s third part presents three real-world decision case studies, while the fourth part addresses more advanced topics, such as computing ordinal correlations between bipolar-valued outranking digraphs, computing kernels in bipolar-valued digraphs, testing for confidence or stability of outranking statements when facing uncertain or solely ordinal criteria significance weights, and tempering plurality tyranny effects in social choice problems. The fifth and last part is more specifically focused on working with undirected graphs, tree graphs and forests. The closing chapter explores comparability, split, interval and permutation graphs. The book is primarily intended for graduate students in management sciences, computational statistics and operations research. The chapters presenting algorithms for ranking multicriteria performance records will be of computational interest for designers of web recommender systems. Similarly, the relative and absolute quantile-rating algorithms, discussed and illustrated in several chapters, will be of practical interest to public and private performance auditors.
Algorithmic Decision Theory: 4th International Conference, ADT 2015, Lexington, KY, USA, September 27-30, 2015, Proceedings (Lecture Notes in Computer Science #9346)
by Toby WalshThis book constitutes the thoroughly refereed conference proceedings of the 4th International Conference on Algorithmic Decision Theory , ADT 2015, held in September 2015 in Lexington, USA. The 32 full papers presented were carefully selected from 76 submissions. The papers are organized in topical sections such as preferences; manipulation, learning and other issues; utility and decision theory; argumentation; bribery and control; social choice; allocation and other problems; doctoral consortium.
Algorithmic Game Theory: 10th International Symposium, SAGT 2017, L’Aquila, Italy, September 12–14, 2017, Proceedings (Lecture Notes in Computer Science #10504)
by Vittorio Bilò Michele FlamminiThis book constitutes the refereed proceedings of the 10th International Symposium on Algorithmic Game Theory, SAGT 2017, held in L'Aquila, Italy, in September 2017.The 30 full papers presented were carefully reviewed and selected from 66 submissions. The papers cover various important aspects of algorithmic game theory such as auctions, computational aspects of games, congestion games, network and opinion formation games, mechanism design, incentives and regret minimization, and resource allocation.