Every investment decision contains an implicit forecast. Whether acknowledged or not, decisions about where to invest, how much risk to take and when to act are all shaped by assumptions about the future. The question is not whether forecasting should be used, but how it should be approached.
This paper explores the characteristics of a robust investment forecast and the principles that distinguish disciplined forecasting from speculation. Rather than attempting to predict precise outcomes, it considers forecasting as a structured process for assessing probabilities, uncertainty and long-term expectations.
The paper examines why uncertainty should not be viewed as a weakness in forecasting, but as an essential part of understanding future outcomes. It considers the limitations of relying on historical averages or market narratives in isolation, and the importance of combining economic evidence, market information and disciplined judgement to develop more balanced expectations.
The accompanying video introduces the concepts discussed, while the full white paper explores the framework in greater detail. Together they explain the philosophy that underpins Randalls’ forecasting approach and the role it plays in supporting long-term investment decisions.
