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well as mastering industry challenges such as reject inference, low default portfolio risk modeling, model validation and stress testing.This;
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Bloomberg screens * Covers important analytical concepts used by portfolio managers Understanding fixed-income analytics is essential in today's;
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content on measuring informal learning, increasing data literacy, and framing L&D's contributions through a portfolio evaluation approach.;
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content on measuring informal learning, increasing data literacy, and framing L&D's contributions through a portfolio evaluation approach.;
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ex-post versus ex-ante risk figures are compared. The author then proceeds to modern portfolio theory (MPT) and illustrates how the;
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in today's complex financial markets. * Covers everything from risk measures, probability, and regulatory issues to portfolio risk analytics and;
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sequel to The Science of Algorithmic Trading and Portfolio Management. This edition includes new chapters on algorithmic trading, advanced;
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The practice of institutional bond portfolio management has changed markedly since the late 1980s in response to new financial instruments;
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The practice of institutional bond portfolio management has changed markedly since the late 1980s in response to new financial instruments;
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curves and the problem of assessing relative value; in part III, topics in fixed income portfolio management associated with change in the shape;
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with describing the key activities involved in asset management and the various forms of risk in managing a portfolio. There is then coverage;
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with describing the key activities involved in asset management and the various forms of risk in managing a portfolio. There is then coverage;
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This book covers topics in portfolio management and multicriteria decision analysis (MCDA), presenting a transparent and unified;
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Engineering: An Introduction Using R provides R recipes for asset allocation and portfolio optimization problems. It begins by introducing all the;
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in strategic business decisions and management. Featuring coverage on a broad range of topics such as data mining, portfolio optimization, and social;
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in strategic business decisions and management. Featuring coverage on a broad range of topics such as data mining, portfolio optimization, and social;
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More efficient credit portfolio engineering can increase the decision-making power of bankers and boost the market value of their banks;
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A groundbreaking framework for improving portfolio performance that goes beyond traditional analytics, offering new ways to understand;
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positive interest rates. The transition from a single bond to a bond portfolio leads to the equation for the internal rate of return. Its solution;
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positive interest rates. The transition from a single bond to a bond portfolio leads to the equation for the internal rate of return. Its solution;
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investors and data science students sharpen their skills in many areas, including time-series, forecasting, portfolio selection, covariance;
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This book provides a comprehensive treatment of the important aspects of investment theory, security analysis, and portfolio selection;
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This book provides a comprehensive treatment of the important aspects of investment theory, security analysis, and portfolio selection;
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Hedge Funds and Institutions. Previously, he was a managing director in the Portfolio Management Group of BlackRock in New York City as well as;
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simulated credit portfolio data to help you more easily implement the concepts discussed, and the expert author team provides practical insight on;
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An insightful look at the implementation of advanced analytics on human capital Human capital analyt;...
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Die zunehmende Diversifizierung von Unternehmen stellt das strategische Management vor neue Aufgaben. Das Konzept des Portfolio Managements;
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