Litigation finance, as a niche asset class of private credit, is not correlated to the stock market. Yet, when underwriting and modeling different financing solutions for law firms, it always takes a very analytical eye to assess the risk of market volatility. I always consider the credit cycle, inflation, and the general sentiment of the consumers. Periods of market volatility can represent enormous gaining opportunities for some companies or rebalancing times for other portfolio managers. However, regardless of the industry and situation, there are four main aspects I would suggest focusing on when using scenario analysis to prepare for market volatility: - Use the weighted average - Ponder the probability of certain outcomes helps to see what would happen in different scenarios. - Try to be conservative - You do not want to overpromise and underdeliver, whether the audience is internal or external to your company. I would suggest thinking about the worst that can happen in certain cases, sometimes being creative and even considering that some unrealistic events can occur (that's how rating agencies assess the risk). - Include both macroeconomic and microeconomic factors - Market volatility always has repercussions at a macro and micro level, influencing both the moves of the big players and behaviors of the single consumers. Try to balance the inputs considering both approaches and using the weighted average. - Use critical thinking - Not everything that happens is always logically correlated. Doing a deeper analysis helps to understand what the implications of certain events may be, and how they can be linked to each other and strategically interpreted by you and the major players of the market. In litigation finance, for instance, when evaluating a commercial case lawsuit involving a public company, I research deeply through 10Q and 10K to understand the management strategy and how they will plan out the resolution based on lawsuit size, future economic environment, credit cycle and company results. Eventually, it becomes a multi-level scenario analysis tree, where at the end, I do a stress test of the results considering both the highest and lowest market volatility environment. In this way, I can then make a decision about the appropriate financing solution and terms for the opportunity.
By modeling different economic conditions and their potential impacts on our finances. For instance, during a period of anticipated economic downturn, I created scenarios for varying degrees of revenue decline and increased costs. This allowed us to develop contingency plans, adjust our budget, and identify areas where we could cut costs or increase liquidity. By evaluating these scenarios, we were better equipped to navigate the uncertainty and make informed decisions to safeguard our financial stability.
Scenario analysis is a crucial tool in preparing for market volatility. For instance, during an uncertain economic period, we developed multiple scenarios based on potential market conditions, such as a severe downturn, moderate decline, and stable growth. We analysed the impact of each scenario on our investment portfolio, assessing factors like asset performance, liquidity needs, and risk exposure. By modelling these different outcomes, we identified which assets were most vulnerable and which would provide stability. This proactive approach allowed us to adjust our strategy, reallocating investments to mitigate risks and ensure we were prepared for any market fluctuations. This not only safeguarded our assets but also provided our clients with peace of mind knowing we had a robust plan in place.