Final answer:
Time Series Analysis is the methodology used to predict future loss based on the assumption that future patterns will resemble those of the past.
Step-by-step explanation:
When we are pretty certain that the future will be similar to the past, a Time Series Analysis can be used to predict future loss. This technique is used to analyze the historical data points to identify trends, seasonal variations, and other patterns in the data over a period of time, which can then be used to make future predictions. Unlike Regression Analysis, which examines the relationship between variables, or Risk Assessment, which involves evaluating the potential risks, Time Series Analysis specifically focuses on the patterns through time to forecast future events. Probability Distribution could also be relevant as it refers to the spread of possible outcomes and their associated probabilities, but for direct prediction based on past trends, Time Series Analysis is the most appropriate answer.