Applying asset-based community development as a strategy for CSR: a Canadian perspective on a win–win for stakeholders and SMEs

In the December 2006 edition of Harvard Business Review , Michael Porter and Mark Kramer argue that by approaching corporate social responsibility (CSR) based on corporate priorities, strengths and abilities, firms can develop socially and fiscally responsible solutions to current CSR issues, which will provide operational and competitive advantages. We agree that an effective approach to CSR includes a mapping of strategy, risk and opportunity. However, we also caution that the identification of these to the exclusion of societal input may not be to the corporation's advantage. Instead, an investment in both strategic analysis and social capital can pay off from a social and an organizational standpoint. Compared with their larger counterparts, small- and medium-sized enterprises (SMEs) frequently have stronger relationships with their internal and external stakeholders that foster the development of social capital. As such, we believe that the sector offers a unique opportunity to identify additional models and frameworks in order to approach a strategic CSR model as espoused by Porter and Kramer. This paper explores a case study of one Canadian SME that uses a community development framework called Asset Based Community Development (ABCD) for its CSR programming. Because ABCD relies heavily on the development and maintenance of social capital and can be utilized to attain set objectives, we propose that it provides a supplementary framework through which the arguments of Porter and Kramer can be expanded. In applying the ABCD framework for CSR, we can begin to establish a programme that supports strategy, integrates employees and stakeholders towards a common vision, and creates unique and sustainable alternatives towards the resolution of social and corporate goals.     

Good vibrations

一 地点:美国加州,天气:晴.没有什么比这样的天气在这样的地点更为奇怪的了.我身在软垫室,这是一个没有窗户的黑箱子.NickAntonio在我旁边,和我一样坐在两个发烫的座椅其中的一个.他是一名工程师,在一家总部位于的规划工程公司Arup工作.MattWilkinson是Nick的同事,他在我们的背后敲着笔记本电脑的键盘,屏幕上不断出现各种图样.我们眼前是Arup洛杉矶工作室的高科技声音实验室.但是当Matt轻点鼠标,我们的听觉仿佛瞬间来到了位于墨西哥蒙特雷、由格雷姆肖建筑事务所设计的阿塞罗奥尔诺博物馆.     

Liquidity,volume and price efficiency: The impact of order vs. quote driven trading

As equity trading becomes predominantly electronic, is there still value to a traditional, intermediated dealer system? We address this question by comparing the impact of the organization of trading on volume, liquidity, and price efficiency in a quote-driven dealer market and in an order-driven limit order book. Small order price impacts are higher and large order price impacts are lower in a dealer market. Prices are more efficient in the limit order book, except when the level of informed trading is high. Volume is higher in a limit order market, making this system most attractive for trading venues.     

Least-squares approach to risk parity in portfolio selection

The risk parity portfolio selection problem aims to find such portfolios for which the contributions of risk from all assets are equally weighted. Portfolios constructed using the risk parity approach are a compromise between two well-known diversification techniques: minimum variance optimization and the equal weighting approach. In this paper, we discuss the problem of finding portfolios that satisfy risk parity over either individual assets or groups of assets. We describe the set of all risk parity solutions by using convex optimization techniques over orthants and we show that this set may contain an exponential number of solutions. We then propose an alternative non-convex least-squares model whose set of optimal solutions includes all risk parity solutions, and propose a modified formulation which aims at selecting the most desirable risk parity solution according to a given criterion. When general bounds are considered, a risk parity solution may not exist. In this case, the non-convex least-squares model seeks a feasible portfolio which is as close to risk parity as possible. Furthermore, we propose an alternating linearization framework to solve this non-convex model. Numerical experiments indicate the effectiveness of our technique in terms of both speed and accuracy.