Description: The effects of the COVID-19 pandemic have been discussed widely and in depth, with lockdown measures and restrictions on travel and trading having a severe impact on the global economy. It is therefore essential the insurance industry investigates these changes in the economy in terms of their impact on morbidity and mortality. In this article, we highlight some of the key findings on this topic.

Description: This article is intended to provide an introduction to microfinance and microinsurance. Microfinance began in the 1960's and 1970's as a humanitarian activity directed at the poor to provide micro loans for working capital. Microinsurance MI protects people in the low-income range against specific perils in exchange for regular premium payments.

Description: This article provides a flavor for the wealth of statistical information provided by the Bureau Of Economic Analysis. It describes the BEA program, tells how to obtain BEA outputs, and looks at some issues BEA faces.

Description: To explore the main drivers of the growing force of Chinese Life Insurance Industry.

Description: Evidence is building from the physical sciences that we are starting to reach some of earth’s limits. Unless we can find some technological solutions, once these limits are reached, we can expect to see a very changed world. Instead of having constantly increasing resources available to us, we can expect ever-decreasing resources to be available. Instead of seeing year after year of growth, increasing longevity and improving morbidity, we can expect the opposite.

Description: The Joint Risk Management Section conducted its fourth survey of emerging risks in fall 2010 in light of the BP oil spill which brought the impact of various risk combinations to the fore.

Description: Traditional predictive tools are not built to deal with the variability the world currently faces. The COVID-19 pandemic amounts to a prolonged black swan event, for which one must look past conventional assessments to arrive at any level of confident predictions. Behavioral analysis factors for biases and heuristics designed specifically for uncertain evolutionary contexts, and which are the primary drivers of market participants’ decisions at present. Through understanding the most likely behaviors of individuals, it becomes possible to arrive at an aggregate understanding of market outcomes.

Description: While the major market crash subsequent to the widespread contagion of the COVID-19 virus was readily predictable, the rapid recovery and ongoing growth subsequent to it was not. Market dynamics around the recovery resist characterization by most traditional analytical approaches. In examining the circumstances around the emergence of a large retail class of investors, one sees that ingrained human tendencies, particularly optimism bias, have fueled much investor behavior responsible for the recovery. Understanding this makes it possible to predict potential future crashes and develop behavioral interventions for subsequent market recoveries.

Description: This is the first of a two-part article introducing and elaborating an “Adaptor” strategy for ERM. Such a strategy is intended to fulfil two purposes: first, switching among four styles of risk-coping strategies in order to track qualitative changes in a business’s risk environment; and, second, to support the business in navigating with resilience through all the seasons of a business-economic cycle, i.e., of boom, bust, moderate, uncertain. This latter requires careful study of the nature of resilience, the familiar idea of bounce back, and the less familiar idea of bounce forward. Part I of our article is underpinned therefore by a supplementary document (available from https://riskviews.wordpress.com/adaptor-exceptionalism/), which addresses the issue of structural change in a business or economy. It draws heavily on ideas taken from the discipline of control engineering, as well as some from ecology, social anthropology, and economics. The entire two-part article is thus an exercise in cross-disciplinary Systems Thinking.

Description: This is the second of a two-part article introducing and elaborating an “Adaptor” strategy for ERM. Such a strategy is intended to fulfil two purposes: first, switching among four styles of risk-coping strategies in order to track qualitative changes in a business’s risk environment; and, second, to support the business in navigating with resilience through all the seasons of a business-economic cycle, i.e., of boom, bust, moderate, uncertain. This latter requires careful study of the nature of resilience, the familiar idea of bounce back, and the less familiar idea of bounce forward. Part I of our article is underpinned therefore by a supplementary document (available from https://riskviews.wordpress.com/adaptor-exceptionalism/), which addresses the issue of structural change in a business or economy. It draws heavily on ideas taken from the discipline of control engineering, as well as some from ecology, social anthropology, and economics. The entire two-part article is thus an exercise in cross-disciplinary Systems Thinking.