Author: Timothy L. Coomer, Ph.D.

The Analytically Based – Data Driven Broker: Loss Cost Analysis

Blog 1: Intro to SIGMA & Scope and Data RequirementsBlog 2: Loss Development FactorsBlog 3: Reserve and Cash Flow AnalysesBlog 4: Trending, Pure Loss Rates, and Loss ProjectionsBlog 5: Confidence Interval and Retention Level AnalysesBlog 6: Loss Cost Analysis Our prior blog post dealt with confidence intervals and retention level analyses, both of which rely heavily on loss projections. To produce […]

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Confidence Interval and Retention Level Analyses

Blog 1: Intro to SIGMA & Scope and Data Requirements Blog 2: Loss Development Factors Blog 3: Reserve and Cash Flow Analyses Blog 4: Trending, Pure Loss Rates, and Loss Projections Blog 5: Confidence Interval and Retention Level Analyses Blog 6: Loss Cost Analysis In our last post, we spent a bit of time dealing […]

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The Analytically Based, Data Driven Broker- Trending, Pure Loss Rates, and Loss Projections

Blog 1: Intro to SIGMA & Scope and Data Requirements Blog 2: Loss Development Factors Blog 3: Reserve and Cash Flow Analyses Blog 4: Trending, Pure Loss Rates, and Loss Projections Blog 5: Confidence Interval and Retention Level Analyses Blog 6: Loss Cost Analysis So, we’ve covered the most popular of SIGMA’s offerings, but what about […]

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The Analytically Based - Data Driven Broker: Reserve and Cash Flow Analyses

Blog 1: Intro to SIGMA & Scope and Data Requirements Blog 2: Loss Development Factors Blog 3: Reserve and Cash Flow Analyses Blog 4: Trending, Pure Loss Rates, and Loss Projections Blog 5: Confidence Interval and Retention Level Analyses Blog 6: Loss Cost Analysis Now that we understand the data necessary for an actuarial analysis […]

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The Analytically Based – Data Driven Broker: Loss Development Factors

Blog 1: Intro to SIGMA & Scope and Data Requirements Blog 2: Loss Development Factors Blog 3: Reserve and Cash Flow Analyses Blog 4: Trending, Pure Loss Rates, and Loss Projections Blog 5: Confidence Interval and Retention Level Analyses Blog 6: Loss Cost Analysis In our previous blog post, we covered one of the first steps in creating […]

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Building Blocks for the Analytically Based - Data Driven Broker

Blog 1: Intro to SIGMA & Scope and Data Requirements Blog 2: Loss Development Factors Blog 3: Reserve and Cash Flow Analyses Blog 4: Trending, Pure Loss Rates, and Loss Projections Blog 5: Confidence Interval and Retention Level Analyses Blog 6: Loss Cost Analysis As a current recipient of the Risk Management Blog, it’s likely […]

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Understanding Confidence Intervals

Seeing the Big Picture While a loss pick or point estimate produced from accurate analysis by an experienced actuary is valuable information, its usefulness is tempered by the likelihood of how accurate the estimate is. That is, from a statistical standpoint, the loss pick has a certain probability of being correct. That probability, measured in a confidence interval, is […]

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Forecasting Losses

Trending to the Future In a prior blog article, we discussed loss development factors and IBNR analysis. The IBNR analysis includes the estimation of ultimate incurred losses for past years, but what about future years? If we also have an estimate of exposures, then we can compute pure loss rates (trended losses per some unit […]

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Don’t Miss Out on the Competitive Advantage of Producer Research

With only a few weeks left before I close the door on the Producer Personality– Sales Performance research, I wanted to extend one final participation offer and share two videos and a podcast. Email me today at TLC@SIGMAactuary.com to participate before it is too late. There is no cost to participate, but you will receive […]

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Dissecting the Personality of a Power Broker

In 2010, after selling Specific Software Solutions, I went on a whirlwind tour to visit brokers around the country. The purpose was to ask one question, “What challenges does the property/casualty brokerage industry face?” The response was consistent and best summarized by a quote I wrote down to use as the motivation for my PhD […]

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