Category: Loss Development and Trend

The Balance of Quantitative Measures and Qualitative Information, a Community Effort

Early last year, I visited the USS Midway Museum in San Diego. The museum offers tours of the decommissioned aircraft carrier, led by docents, many of whom served on the USS Midway or another vessel. As I toured the bridge and entered the chart room, the docent recalled the various measures for determining the carrier's […]

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Silent Evidence

What is silent evidence? How can I look for it? What benefit does it provide? As technology advances, companies are continuing to get better and better at capturing, manipulating, and examining data. One of the many results of this improvement is that the ability to differentiate your approach to risk management from others is gradually […]

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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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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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Analytics for Non-traditional Captive Risks

After attending the Fall 2015 Hawaii Captive Insurance Council meeting and the Spring 2016 CICA captive meeting, I became increasingly aware of the continued trend of placing non-traditional1 risks in captives. At SIGMA, we are seeing a growing number of captives formed with a sole focus on non-traditional risks. We are also noticing a large […]

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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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