Description: Up until recent past, the artificial intelligence portion of data science was looked upon cautiously due to its history of booms and flops . In the latest stream of events, major improvements have taken place in this field and now deep learning, the new leading front for Artificial Intelligence, presents a promising prospect for overcoming problems of big data.

Description: Diverse Risks 2016 Call for Essays

Description: Explains the more granular breakout of bond RBC factors proposed to the NAIC. Evaluates alternative asset allocation choices for insurers under the new rules.

Description: Insurance companies utilize derivatives in a variety of ways to manage and mitigate risks that are inherent in their investment or liability portfolios. They can be characterized by three main features: medium long-term duration; large volumes; and significant market risk exposure. Given the persistent low interest rate environment across the curve since the 2008 financial crisis, large companies need to hedge their liabilities, as illustrated by the significant recent increase from $786 billion as of fiscal year 2010 to $1,885 billion as of FY 2014 by insurance companies.As the Variable Annuities (VA) guarantees embedded within those liabilities hold a strong convex risk profile with respect to the underlying stock, VA carriers need to buy some convex hedge assets such as options to match the liability risk profile to improve hedge effectiveness, implying the growing cost of hedging. Such market impact of the quantity on the cost of hedging is further magnified in the recent period with the short-lived, but sharp transitions from low volatility to high volatility, when market volatility suddenly increases, even when there were no well-known fundamental catalysts. This partially stems from the growing managed volatility funds embedded within VA ($bn 400).VA carriers willing to trade a large quantity of options will see such market impact as an important dilemma, as the cost of placing one large order to close position will be far greater than the sum of infinitely small orders differed in time. In that context, managing market impact requires introducing an explicit market impact function, the influence of which the agent will try to minimize. The effect on hedge asset prices significantly depends on whether there is or not significant delta hedging activity. In case of no significant delta hedging activity, the risk appetite has a significant influence on the optimal execution strategy. If there is significant delta hedging activity, the optimal trading involve

Description: What is the impact of aging populations on economic growth and interest rates?” “Are low interest rates and inflation a short-term phenomenon?” “How will returns from different asset classes be impacted by future demographic trends?” “What are the differences between different countries and regions around the world?”

Description: Provides summary of qualitative factors in the current fiscal, economic and political environment that could lead to higher inflation.

Description: ERM and Investment strategies for healthcare companies

Description: The Investment Symposium is a day-and-a-half long seminar that will focus on the issues and questions faced by investors and risk managers, especially related to insurance companies and retirement plans. Presenters will discuss the big picture issues and explore practical solutions to today’s challenges. Experts will share new approaches to portfolio management and cutting edge research in asset-liability management. Technology, regulation and the economic environment will

Description: This session will serve as a guide on how to implement a factor-based optimization in the Strategic Asset Allocation process. The session will review a factor-based investing approach and cover the top-down macroeconomic drivers of risk and return for various asset classes. We will then illustrate implementation of this investing approach and determination of an optimal Strategic Asset Allocation through a pension fund case study. There will be an interactive element to the session as the factor sensitivities of various portfolios can be examined in real-time.

Description: Increasing uncertainties and volatility in financial as well as real goods markets increasingly reveal that controlling systems based on deterministic and pseudo-exact values are insufficiently eligible to manage the business activities. This raises the question how management systems can be modified to generate the adequate management impulses in volatile periods. Risk management deals from identifying, evaluating and aggregating chances and risks, which again determine the potential fluctuation range of relevant performance indicators. Everyday corporate life shows that risk management is considered important; but the corresponding processes to identify, evaluate and report chances and risks are seldom part of established decision criteria. This “paradox” lets assume that risks are managed in various differing and unsystematic ways. The combination of traditional controlling methods and risk management is not primarily a methodological challenge. The behavior of the whole organization, practiced over a long-year period, has to be transferred into a new corporate culture of transparent dealing with chances and risks. This paper describes the necessary change management process, which has to come along with necessary methodological modifications.