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Titlebook: Indices, Index Funds And ETFs; Exploring HCI, Nonli Michael I. C. Nwogugu Book 2018 The Editor(s) (if applicable) and The Author(s) 2018 Ri

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Book 2018rldwide. This book analyzes the mathematical/statistical biases, misrepresentations, recursiveness, nonlinear risk and homomorphisms inherent in equity, debt, risk-adjusted, options-based, CDS and commodity indices – and by extension, associated index funds and ETFs. The book characterizes the “Popu
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Some New Index-Calculation Methods and Their Mathematical Properties,and risks of companies. This chapter contributes to the existing literature by introducing new index calculation methods (for fixed income, equity and commodity indices) that substantially reduce or eliminate Index Arbitrage and ETF Arbitrage.
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Implications for Decision Theory, Enforcement, Financial Stability and Systemic Risk,discusses “.” and “.” and proposes new models of government intervention; and (iii) proposes new sustainability measures that are designed to reduce the wide-ranging adverse effects of Indices, Index Funds and ETFs (such as ., ., Pollution and Climate Change, harmful ., and .).
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,Decision-Making, Sub-additive Recursive “Matching” Noise and Biases in Risk-Weighted Stock/Bond Comg the errors and biases inherent in “risk-adjusted” index weighting methods and the associated adverse effects; and (b) showing how these biases/effects inherent in index calculation methods can reduce social welfare, amplify financial instability, systemic risk and harmful arbitrage activities.
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A Critique of Credit Default Swaps (CDS) Indices, of CDS indices and the Markit CDX CDS indices (.) were used to value a wide range of assets such as MBS and corporate bonds. This chapter explains why CDS Indices are inaccurate and, thus, can cause and/or amplify financial instability and systemic risk.
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Informationless Trading and Biases in Performance Measurement: Inefficiency of the Sharpe Ratio, Trmixture of distributions over time, and because Standard Deviations (SD) and returns are not sufficient to accurately define investors’ preferences. Value at Risk (VaR) and Expected Shortfall were addressed in Nwogugu (2005) and Nwogugu (.(1), 178–196).
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