While indices, index tracking funds and ETFs have grown in popularity during then last ten years, there are many structural problems, tracking errors and biases inherent in index calculation methodologies and the legal/economic structure of ETFs, which raise actionable issues of "suitability" and "fraud" under US securities laws. This article contributes to the existing literature by: (a) introducing and characterizing the errors and biases inherent in "risk-adjusted" index-weighting methods and the associated adverse effects; (b) showing how these biases/effects reduce social welfare, and can facilitate harmful arbitrage activities; (c) introducing new theorems. 1350020-1 Discrete Math. Algorithm. Appl. 2013.05. Downloaded from www.worldscientific.com by NANYANG TECHNOLOGICAL UNIVERSITY on 08/26/15. For personal use only. M. C. I. Nwogugu status. This perspective is consistent with institutional investors' focus on Information Ratio as the preferred measure of risk-adjusted returns. Reference [52] has documented various classes of recursive preferences within the context of volatility and markets.Nwogugu [69] showed that the Put-Call Parity Theorem is inaccurate even after making adjustments for taxes and transaction costs. References [101,123,43] and Bharadwaj and Wiggins (2001) empirically showed that the Put-Call Parity Theorem is often violated even after accounting for transaction costs. Poitras et al. [125] concluded that the Put-Call Parity Theorem is inaccurate, and that there are early exercise premia for both calls and puts. Brunetti and Torrieelli [117] found mixed evidence about the accuracy of the Put Call Parity Theorem.Arnott et al.[6] compared the major index weighting methods (cap-weighting; fundamental weighting; equal weighting; minimum-variance; minimum-beta; and risk-adjusted index weighting) and also analyzed historical returns and volatilities of such indices from analyzed the daily trading and portfolio configuration strategies of index and enhanced index equity funds, and concluded that passive funds benefit from employing less rigid rebalancing and investment strategies; and that during index revision periods, enhanced index funds commence portfolio rebalancing earlier than index funds, and employ more patient trading strategies (all of which results in higher returns and lower trading costs for enhanced index funds). Frino et al.[36] stated that where passive funds do not perfectly mimic the benchmark Index, passive funds are more likely to over-weight stocks that have greater liquidity, larger market capitalization and higher past performance; and that for non-index portfolio holdings, enhanced funds exhibit a greater propensity to hold 'winners' and sell 'losers'. Ang et al. [129] and Blitz and van Vilet [128] both concluded that lowvolatility stocks produced higher returns while high volatility stocks produce low returns, and that the effect could not be explained by size, book-to-market, momentum or liquidity. Daniel and Titman [21] noted that firm-characteristics (rather than t...