Description: U.S. bond markets have undergone dramatic changes due to the 2008 Global Financial Crisis (GFC) and the COVID-19 pandemic. In taking a retrospective view, we can see that bond markets, viewed through the lens of major bond indices, have been evolving for quite some time. Within this paper, TD Asset Management Inc. (TDAM) will explore underlying changes that have occurred within the U.S. Corporate Bond Index, a sub-component of the larger U.S. investment grade bond market, over the past decade. We will highlight key structural changes that have occurred within bond markets and why they are noteworthy

Description: This article discusses facts and issues related to the selection of a stock’s price distribution.

Description: All things considered, caution needs to be applied to the use of so-called “standard” mortality tables. Sharpening up these blunt estimates by using individual assumptions reveals material differences in the structure of longevity, both between plans and within plans.

Description: This is the second part of a 2 part series on Real options analysis (ROA). This article looks into the limitations of using financial option theory when doing real options analysis with projects that are long-dated and uncertain, such as: 1. First-degree homogeneity, 2. Uncertainty must derive from Brownian motion, and 3. Risk neutrality.

Description: This article is part of a 2 part series on real options analysis (ROA). Before you can understand the limitations of ROA, you must first understand the difference between risk and uncertainty. This article goes into detail explaining the vast differences between the two phenomena.

Description: The paper demonstrates that the most popular rationalization for evolving glide paths is flawed and should be discarded. The paper also demonstrates that glide paths should generally evolve for investors that endeavor to optimize outcomes and reevaluate their portfolios regularly.

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: While many know that machine learning is a big deal and even have a general idea of what it is, many do not know what machine learning can do for them. As an alternative to citing achievements or explaining algorithms, this article outlines the challenges that occur in statistics and the solutions that machine learning offers. Some of those challenges include correlated predictors, missing data, data interaction, and prediction intervals. Corresponding solutions include regularization technics, missing value imputation with KNN, tree based models, and cluster analysis for backtesting.

Description: The investment risk taken by a pension fund comprises strategic risk and active risk. This paper discusses the relative merits of these two types of risk to the pension fund, possible rationales for the levels of strategic and active risk typically adopted mechanisms for capturing manager skill without taking on equity risk, and issues in setting liability-based benchmarks for investment managers

Description: Measuring Fair Value for Participation Units of Stable Value Pooled Funds