Conservation,Discrimination, and Salvation: Investors’ Social Concerns in the Stock Market

Stocks appear to have investor clienteles based on their business practices and products. The variety in expressive benefits each individual receives from owning controversial stocks causes them to modify their portfolio to accommodate their beliefs. We examine the ownership of firms with social concerns and sin stocks (tobacco, alcohol and gambling). Women tilt their portfolios towards stocks with progressive labor policies for women and minorities. Younger investors avoid companies with poor environmental records but seek companies with progressive labor policies. Democratic voters favor stocks with progressive policies regarding women/minorities and gays/lesbians and are less likely to own sin stocks. Christian objections to homosexuality lead their members to invest less in stocks with progressive labor policies for gays and lesbians. The Christian denominations vary, though, in regard to sin stocks. Catholics are more likely while Mormons are less likely to own a sin stock relative to other investors. Socially responsible investors are clearly not all alike. Social characteristics that are important to one investor may not be important to another socially conscious investor.     

Multilevel dual approach for pricing American style derivatives

In this article we propose a novel approach to reduce the computational complexity of the dual method for pricing American options. We consider a sequence of martingales that converges to a given target martingale and decompose the original dual representation into a sum of representations that correspond to different levels of approximation to the target martingale. By next replacing in each representation true conditional expectations with their Monte Carlo estimates, we arrive at what one may call a multilevel dual Monte Carlo algorithm. The analysis of this algorithm reveals that the computational complexity of getting the corresponding target upper bound, due to the target martingale, can be significantly reduced. In particular, it turns out that using our new approach, we may construct a multilevel version of the well-known nested Monte Carlo algorithm of Andersen and Broadie (Manag. Sci. 50:1222–1234, 2004) that is, regarding complexity, virtually equivalent to a non-nested algorithm. The performance of this multilevel algorithm is illustrated by a numerical example.     

New development: Information for localism? Policy sense-making for local governance

Recent policy changes in the UK emphasising localism, as opposed to centrally-driven performance management, have potentially significant implications for the use of information in local policy-shaping. This article explores the challenges that this implies for framing the problem and in terms of the current and future uses of information for local governance.