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Adam Parker discusses the need for efficient communication declines in today's rapid-fire information environment. He reflects on the deep dive research of his former firm, Sandford Bernstein, which required efficient communication methods. He emphasizes the importance of looking beyond headline negativity and embracing risk during recovery periods, such as March 2009 and March 2020.
Adam Parker shares insights on founding Trivariot Research, a firm that provides top-down investment strategy to institutional clients. He discusses the chaos during the pandemic and how Trivariot isolated the work-from-home versus reopening theme, analyzing high and low-quality factors. He also highlights the firm's focus on crowding, gathering data on ownership among prominent stock pickers to identify conviction and bad crowding. Adam further explores hidden overlapping factors and the importance of interpreting model outputs carefully.
Adam Parker reflects on his experiences in market cycles, emphasizing the challenge of timing market moves and distinguishing between structural and cyclical changes. He discusses the importance of understanding catalysts, avoiding the fallacy of zero as a floor for valuation, and the complications of using valuation as a signal for extreme stocks. He also delves into the significance of historical analysis and the limitations of relying solely on past data to predict future returns.
The podcast episode explores the influence of interest rates and perception on market multiples. It discusses how the perception of rates affects equity market multiples and the correlation between the S&P, the VIX, and the DXY. The speaker emphasizes the importance of understanding the evolving relationship between rates, the dollar, and risk asset outcomes. They also mention the impact of positioning and sentiment on the market through examples of crowding and factor timing.
The episode delves into the topics of portfolio construction and risk management. It highlights the significance of considering size, correlation, and factor timing when constructing a portfolio. The speaker mentions the use of quantitative models and the importance of avoiding excessive signal correlation in stock selection. Additionally, they discuss the role of language processing and machine learning in analyzing transcripts and the potential for leveraging technology to gain insights from corporate compensation structures and incremental gross margins.
There are lies, damn lies and statistics as the saying goes, and about the latter, Adam Parker knows a thing or two. Armed with a Phd in stats, he began his Wall Street career as a semi’s analyst at Sanford Bernstein in 1999. Reflecting back on the deep dive research the firm was known for, he notes that today’s rapid fire information environment requires especially efficient communication to clients.
We look backward to gather some insights on how Adam’s framework and process came to be. Markets teach lessons and for Adam, it is the recovery periods – March 2009 and March 2020, for example – that illustrated the need to look past headline negativity and embrace risk when it was difficult to do so. He shares as well the challenges inherent in determining if change – in margins, in profits and stock price, for example – is structural versus cyclical.
We shift to Adam’s founding of Trivariate Research, a firm providing top down investment strategy to institutional clients. First, we review some of chaos that ensued 3 years back during the pandemic and learn of some of the factor work that isolated work from home versus re-opening, a theme further distilled by adding a high and low quality factor to each. Next we talk about crowding, an area of focus at Trivariate. Here the team collects data on ownership among a prominent group of stock pickers, aimed at identifying both conviction as well as bad crowding.
We round out the conversation by further exploring crowding, but in the context of hidden, overlapping factors. Here Adam talks about his work in the area of signal correlation and how factor sensitivities of sets of stocks can vary substantially over time. The result is a “handle with care” approach to interpreting model outputs. I hope you enjoy this episode of the Alpha Exchange, my conversation with Adam Parker.
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Listen to the best highlights from the podcasts you love and dive into the full episode