Are Canadian pension plans disadvantaged by the current structure of portfolio regulation?

We investigate the performance of Canadian pension funds relative to those from the UK and US, in the light of the ongoing quantitative asset restrictions that still apply in Canada, compared with the purer prudent person approach in the UK and US. We find that although Canadian funds often obtain better combinations of return and risk, returns are often less than could be obtained given financial market conditions, as shown by dummy portfolios split evenly between bonds and equities, or diversified into real estate, as well as mean-variance optimal portfolios. In contrast, UK and US funds typically outperform such benchmarks. Combined with criticisms of specific Canadian regulations in the light of finance theory and empirical evidence, the paper makes a case for removal of residual quantitative restrictions in Canada, and their replacement by sole prudent person regulations

Allocating in the Presence of Dominance: A Mean-Variance Portfolio Choice Economic Experiment

I conduct a mean-variance portfolio choice economic experiment to evaluate how individuals’ portfolio choices deviate from what modern portfolio theory considers optimal. The experimental framework is comprised of three treatments. In each treatment the portfolio selection task involves choosing between two risky assets with zero correlation among their payoffs and one risk free asset. Participants are tasked with completing thirty choice rounds in which they must allocate a constant experimental capital amount to the available asset options after which they are shown period-by-period state-realizations. I utilize the definition of dominance as described in Neugebauer (2004), and Baltussen and Post (2011), that states an asset is dominant if it is attractive in isolation – the asset with the higher Sharpe-ratio. The risky asset, A or B, that is dominant, and the return characteristics of the dominant asset vary over treatments 1, 2, and 3. I find that, relative to theoretically optimal allocation, subjects disproportionately allocate their experimental capital to asset A, the asset with higher expected return and variance, in all treatments, and forgo the benefits to diversification that asset B provides. In order to analyze subjects’ allocation decisions across treatments, I utilize Robust OLS and Fixed Effects regression frameworks

Time is money: life cycle rational inertia and delegation of investment management : [Version November 2013]

We investigate the theoretical impact of including two empirically-grounded insights in a dynamic life cycle portfolio choice model. The first is to recognize that, when managing their own financial wealth, investors incur opportunity costs in terms of current and future human capital accumulation, particularly if human capital is acquired via learning by doing. The second is that we incorporate age-varying efficiency patterns in financial decisionmaking. Both enhancements produce inactivity in portfolio adjustment patterns consistent with empirical evidence. We also analyze individuals’ optimal choice between self-managing their wealth versus delegating the task to a financial advisor. Delegation proves most valuable to the young and the old. Our calibrated model quantifies welfare gains from including investment time and money costs, as well as delegation, in a life cycle setting

An Overview of Economic Approaches to Information Security Management

The increasing concerns of clients, particularly in online commerce, plus the impact of legislations on information security have compelled companies to put more resources in information security. As a result, senior managers in many organizations are now expressing a much greater interest in information security. However, the largest body of research related to preventing breaches is technical, focusing on such issues as encryption and access control. In contrast, research related to the economic aspects of information security is small but rapidly growing. The goal of this technical note is twofold: i) to provide the reader with an structured overview of the economic approaches to information security and ii) to identify potential research directions

Review of trends and targets of complex systems for power system optimization

Optimization systems (OSs) allow operators of electrical power systems (PS) to optimally operate PSs and to also create optimal PS development plans. The inclusion of OSs in the PS is a big trend nowadays, and the demand for PS optimization tools and PS-OSs experts is growing. The aim of this review is to define the current dynamics and trends in PS optimization research and to present several papers that clearly and comprehensively describe PS OSs with characteristics corresponding to the identified current main trends in this research area. The current dynamics and trends of the research area were defined on the basis of the results of an analysis of the database of 255 PS-OS-presenting papers published from December 2015 to July 2019. Eleven main characteristics of the current PS OSs were identified. The results of the statistical analyses give four characteristics of PS OSs which are currently the most frequently presented in research papers: OSs for minimizing the price of electricity/OSs reducing PS operation costs, OSs for optimizing the operation of renewable energy sources, OSs for regulating the power consumption during the optimization process, and OSs for regulating the energy storage systems operation during the optimization process. Finally, individual identified characteristics of the current PS OSs are briefly described. In the analysis, all PS OSs presented in the observed time period were analyzed regardless of the part of the PS for which the operation was optimized by the PS OS, the voltage level of the optimized PS part, or the optimization goal of the PS OS.Web of Science135art. no. 107

Mechanisms for Outsourcing Computation via a Decentralized Market

As the number of personal computing and IoT devices grows rapidly, so does the amount of computational power that is available at the edge. Since many of these devices are often idle, there is a vast amount of computational power that is currently untapped, and which could be used for outsourcing computation. Existing solutions for harnessing this power, such as volunteer computing (e.g., BOINC), are centralized platforms in which a single organization or company can control participation and pricing. By contrast, an open market of computational resources, where resource owners and resource users trade directly with each other, could lead to greater participation and more competitive pricing. To provide an open market, we introduce MODiCuM, a decentralized system for outsourcing computation. MODiCuM deters participants from misbehaving-which is a key problem in decentralized systems-by resolving disputes via dedicated mediators and by imposing enforceable fines. However, unlike other decentralized outsourcing solutions, MODiCuM minimizes computational overhead since it does not require global trust in mediation results. We provide analytical results proving that MODiCuM can deter misbehavior, and we evaluate the overhead of MODiCuM using experimental results based on an implementation of our platform