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: This article speculates on the presence and magnitude of the benefits attributable to regular rebalancing of one's investment portfolio. It surveys the extant literature, discusses certain implications, and presents conclusions.

Description: In *From Distress to Distinction*, Chris Droussiotis explores a novel approach to valuing distressed companies using option pricing theory, drawing parallels to the financial challenges faced by startups. With over 30 years in banking and startup advising, he emphasizes that both distressed firms and early-stage ventures endure periods of negative cash flow but retain potential for recovery. He combines Discounted Cash Flow (DCF) and the Black-Scholes Option Pricing Model to evaluate distressed firms’ recovery prospects and debt sustainability. A case study on Spirit Airlines illustrates this approach: though its current equity value is negative, projected future cash flows suggest significant potential recovery. Droussiotis concludes that strategic valuation, using trend, peer, and expected analysis, can reveal hidden value in distressed companies, guiding effective investment and restructuring decisions.

Description: As tariff policies are rapidly changing throughout 2025, the U.S. markets have been reacting in complex ways. In addressing the difference in short and long-term impacts of these policy changes, the importance of resilient and holistic risk management is highlighted in order for companies and investors to find opportunities and mitigate sudden losses.

Description: Our previous article, “Introduction of Cashflow Matching Strategic Asset Allocation (SAA) Framework,” introduced the concept and included a real-world case study that developed a liability-driven investment strategy for a single line of business (LOB) for a life insurer. This article expands the framework and the case study from a single LOB to simultaneously optimize asset allocation across multiple LOBs. It discusses how this multi-line SAA framework can enable an insurance company to efficiently tag its asset holdings to each LOB, identify opportunities in the public and private asset markets to enhance risk-adjusted returns, and develop a deeper understanding of the trade-off between the degree of cashflow matching and risk-adjusted returns across LOBs.

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.