BERKLEY W R CORP (WRB)
SIC breadcrumb: Finance, Insurance, And Real Estate > Insurance Carriers > SIC 6331 Fire, Marine & Casualty Insurance
SEC company page: https://www.sec.gov/edgar/browse/?CIK=11544. Latest filing source: 0000011544-26-000005.
Informational only. Descriptive public-record data — not a rating, forecast, or investment advice. See Disclaimer.
At a glance
- Revenue
- 14,707,856,000 USD verified
- Net income
- 1,779,403,000 USD verified
- Assets
- 44,071,071,000 USD verified
- Net margin
- 12.10% computed
- Revenue YoY
- +7.84% computed
- ROE
- 18.34% computed
Peer & cluster context
Peer comparisons including WRB
- Property and casualty insurers: peer review · market-risk page
Peer percentile fingerprint
Percentile = share of the N covered peers reporting that ratio whose value is lower (ties counted half); computed among grepcent-covered companies in SIC industry 6331 Fire, Marine & Casualty Insurance, not the whole market. A higher percentile means a higher value of the ratio, not a better company. Ratios with fewer than 8 reporting peers are omitted. Latest reported values per company; fiscal periods may differ. Descriptive arithmetic - not a score, rating, or ranking.
Selected Fundamentals
| Metric | Value | Unit | FY | Filed |
|---|---|---|---|---|
| Revenue | 14,707,856,000 | USD | 2025 | 2026-02-27 |
| Net income | 1,779,403,000 | USD | 2025 | 2026-02-27 |
| Assets | 44,071,071,000 | USD | 2025 | 2026-02-27 |
Financials
Annual standardized facts from SEC companyfacts as of latest extracted filing date 2026-02-27. Source: https://data.sec.gov/api/xbrl/companyfacts/CIK0000011544.json. Derived margins, ratios, and free cash flow are computed from the extracted annual SEC facts.
| Metric | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 |
|---|---|---|---|---|---|---|---|---|---|---|
| Revenue | 7,654,184,000 | 7,684,764,000 | 7,691,651,000 | 7,902,196,000 | 8,098,925,000 | 9,455,466,000 | 11,166,499,000 | 12,142,938,000 | 13,638,752,000 | 14,707,856,000 |
| Net income | 601,916,000 | 549,094,000 | 640,749,000 | 681,944,000 | 530,670,000 | 1,022,490,000 | 1,381,062,000 | 1,381,359,000 | 1,756,115,000 | 1,779,403,000 |
| Diluted EPS | 4.68 | 2.84 | 3.33 | 3.52 | 1.87 | 3.66 | 3.29 | 3.37 | 4.36 | 4.45 |
| Operating cash flow | 848,376,000 | 710,883,000 | 620,199,000 | 1,143,793,000 | 1,616,686,000 | 2,183,987,000 | 2,568,604,000 | 2,929,238,000 | 3,678,368,000 | 3,582,616,000 |
| Dividends paid | 183,999,000 | 188,199,000 | 254,951,000 | 308,191,000 | 84,147,000 | 355,736,000 | 235,192,000 | 501,456,000 | 531,953,000 | 700,269,000 |
| Share buybacks | 132,392,000 | 47,807,000 | 24,750,000 | 18,225,000 | 346,357,000 | 122,426,000 | 94,140,000 | 537,163,000 | 303,655,000 | 270,221,000 |
| Assets | 23,364,844,000 | 24,299,917,000 | 24,895,977,000 | 26,662,144,000 | 28,606,913,000 | 32,086,414,000 | 33,861,099,000 | 37,202,015,000 | 40,567,268,000 | 44,071,071,000 |
| Liabilities | 18,283,710,000 | 18,848,754,000 | 19,416,179,000 | 20,543,802,000 | 22,281,116,000 | 25,418,684,000 | 27,092,938,000 | 29,732,778,000 | 32,159,829,000 | 34,359,177,000 |
| Stockholders' equity | 5,047,208,000 | 5,411,344,000 | 5,437,851,000 | 6,074,939,000 | 6,310,802,000 | 6,653,011,000 | 6,748,332,000 | 7,455,431,000 | 8,395,111,000 | 9,700,818,000 |
| Cash and cash equivalents | 795,285,000 | 950,471,000 | 817,602,000 | 1,023,710,000 | 2,372,366,000 | 1,568,843,000 | 1,449,346,000 | 1,363,195,000 | 1,974,747,000 | 2,539,938,000 |
Ratios
| Metric | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 |
|---|---|---|---|---|---|---|---|---|---|---|
| Net margin | 7.86% | 7.15% | 8.33% | 8.63% | 6.55% | 10.81% | 12.37% | 11.38% | 12.88% | 12.10% |
| Return on equity | 11.93% | 10.15% | 11.78% | 11.23% | 8.41% | 15.37% | 20.47% | 18.53% | 20.92% | 18.34% |
| Return on assets | 2.58% | 2.26% | 2.57% | 2.56% | 1.86% | 3.19% | 4.08% | 3.71% | 4.33% | 4.04% |
| Liabilities / equity | 3.62 | 3.48 | 3.57 | 3.38 | 3.53 | 3.82 | 4.01 | 3.99 | 3.83 | 3.54 |
Industry Peer Context
Net margin peer context
ROE peer context
ROA peer context
Financial Charts
Figure provenance: SEC companyfacts. Latest point: FY 2025 ended 2025-12-31; accession 0000011544-26-000005; filed 2026-02-27. Concept: Revenues. Source concepts: us-gaap:Revenues.
Figure provenance: SEC companyfacts. Latest point: FY 2025 ended 2025-12-31; accession 0000011544-26-000005; filed 2026-02-27. Concept: NetIncomeLoss. Source concepts: us-gaap:NetIncomeLoss.
Figure provenance: SEC companyfacts. Latest point: FY 2025 ended 2025-12-31; accession 0000011544-26-000005; filed 2026-02-27. Concept: EarningsPerShareDiluted. Source concepts: us-gaap:EarningsPerShareDiluted.
Figure provenance: SEC companyfacts. Latest point: FY 2025 ended 2025-12-31; accession 0000011544-26-000005; filed 2026-02-27. Concept: NetCashProvidedByUsedInOperatingActivities. Source concepts: us-gaap:NetCashProvidedByUsedInOperatingActivities.
Figure provenance: SEC companyfacts. Latest point: FY 2025 ended 2025-12-31; accession 0000011544-26-000005; filed 2026-02-27. Concept: PaymentsOfDividendsCommonStock. Source concepts: us-gaap:PaymentsOfDividendsCommonStock.
Figure provenance: SEC companyfacts. Latest point: FY 2025 ended 2025-12-31; accession 0000011544-26-000005; filed 2026-02-27. Concept: PaymentsForRepurchaseOfCommonStock. Source concepts: us-gaap:PaymentsForRepurchaseOfCommonStock.
Figure provenance: SEC companyfacts. Latest point: FY 2025 ended 2025-12-31; accession 0000011544-26-000005; filed 2026-02-27. Concept: Assets. Source concepts: us-gaap:Assets.
Figure provenance: SEC companyfacts. Latest point: FY 2025 ended 2025-12-31; accession 0000011544-26-000005; filed 2026-02-27. Concept: Liabilities. Source concepts: us-gaap:Liabilities.
Figure provenance: SEC companyfacts. Latest point: FY 2025 ended 2025-12-31; accession 0000011544-26-000005; filed 2026-02-27. Concept: StockholdersEquity. Source concepts: us-gaap:StockholdersEquity.
Figure provenance: SEC companyfacts. Latest point: FY 2025 ended 2025-12-31; accession 0000011544-26-000005; filed 2026-02-27. Concept: CashAndCashEquivalentsAtCarryingValue. Source concepts: us-gaap:CashAndCashEquivalentsAtCarryingValue.
As-reported value updates
Quarterly
Quarterly standardized facts from SEC companyfacts as of latest extracted filing date 2026-07-31. Source: https://data.sec.gov/api/xbrl/companyfacts/CIK0000011544.json.
| Quarter | End Date | Revenue | Net Income | Diluted EPS | Method |
|---|---|---|---|---|---|
| 2022-Q3 | 2022-09-30 | 0.82 | reported discrete quarter | ||
| 2022-Q1 | 2023-03-31 | 1.06 | reported discrete quarter | ||
| 2023-Q2 | 2023-06-30 | 1.30 | reported discrete quarter | ||
| 2023-Q3 | 2023-09-30 | 3,030,638,000 | 333,586,000 | 1.23 | reported discrete quarter |
| 2023-Q4 | 2023-12-31 | 3,221,382,000 | 397,339,000 | derived Q4 = FY annual - nine-month YTD | |
| 2024-Q1 | 2024-03-31 | 3,256,773,000 | 442,471,000 | 1.64 | reported discrete quarter |
| 2024-Q2 | 2024-06-30 | 3,314,032,000 | 371,909,000 | 0.92 | reported discrete quarter |
| 2024-Q3 | 2024-09-30 | 3,400,379,000 | 365,634,000 | 0.91 | reported discrete quarter |
| 2024-Q4 | 2024-12-31 | 3,667,568,000 | 576,101,000 | derived Q4 = FY annual - nine-month YTD | |
| 2025-Q1 | 2025-03-31 | 3,547,399,000 | 417,571,000 | 1.04 | reported discrete quarter |
| 2025-Q2 | 2025-06-30 | 3,670,808,000 | 401,288,000 | 1.00 | reported discrete quarter |
| 2025-Q3 | 2025-09-30 | 3,768,236,000 | 511,032,000 | 1.28 | reported discrete quarter |
| 2025-Q4 | 2025-12-31 | 3,721,413,000 | 449,511,000 | derived Q4 = FY annual - nine-month YTD | |
| 2026-Q1 | 2026-03-31 | 3,690,334,000 | 515,216,000 | 1.31 | reported discrete quarter |
| 2026-Q2 | 2026-06-30 | 3,716,119,000 | 452,261,000 | 1.15 | reported discrete quarter |
Quarterly Charts
Figure provenance: SEC companyfacts. Latest point: FY 2026 ended 2026-06-30; accession 0000011544-26-000036; filed 2026-07-31. Concept: Revenues. Source concepts: us-gaap:Revenues.
Figure provenance: SEC companyfacts. Latest point: FY 2026 ended 2026-06-30; accession 0000011544-26-000036; filed 2026-07-31. Concept: NetIncomeLoss. Source concepts: us-gaap:NetIncomeLoss.
Figure provenance: SEC companyfacts. Latest point: FY 2026 ended 2026-06-30; accession 0000011544-26-000036; filed 2026-07-31. Concept: EarningsPerShareDiluted. Source concepts: us-gaap:EarningsPerShareDiluted.
Business
Read WRB's verbatim Item 1 Business section from its latest 10-K: Business.
Risk Factors
Read WRB's verbatim Item 1A Risk Factors from its latest 10-K: Risk Factors.
Latest quarter (10-Q)
Latest 10-Q source: 0000011544-26-000036.
Item 2. Management’s Discussion and Analysis of Financial Condition and Results of Operations
Overview
W. R. Berkley Corporation is an insurance holding company that is among the largest commercial lines writers in the United States and operates worldwide in two segments of the property and casualty business: Insurance and Reinsurance & Monoline Excess. Our decentralized structure provides us with the flexibility to respond quickly and efficiently to local or specific market conditions and to pursue specialty business niches. It also allows us to be closer to our customers in order to better understand their individual needs and risk characteristics. While providing our businesses with certain operating autonomy, our structure allows us to capitalize on the benefits of economies of scale through centralized capital, investment, reinsurance, enterprise risk management, and actuarial, financial and corporate legal staff support. The Company’s primary sources of revenues and earnings are its insurance operations and its investments.
An important part of our strategy is to form new businesses to capitalize on various market opportunities. Over the years, the Company has formed numerous businesses that are focused on important parts of the economy in the U.S., including healthcare, cyber security, energy and agriculture, and on growing international markets, including the Asia-Pacific region, South America and Mexico.
The profitability of the Company’s insurance business is affected primarily by the adequacy of premium rates. The ultimate adequacy of premium rates is not known with certainty at the time an insurance policy is issued because premiums are determined before claims are reported. The ultimate adequacy of premium rates is affected mainly by the severity and frequency of claims, which are influenced by many factors, including natural and other disasters, regulatory measures and court decisions that define and change the extent of coverage and the effects of economic inflation on the amount of compensation for injuries or losses. General insurance prices are also influenced by available insurance capacity, i.e., the level of capital employed in the industry, and the industry’s willingness to deploy that capital.
The Company’s profitability is also affected by its investment income and investment gains. The Company’s invested assets are invested principally in fixed maturity securities. The return on fixed maturity securities is affected primarily by general interest rates, as well as the credit quality and duration of the securities.
The Company also invests in equity securities, merger arbitrage securities, investment funds, private equity, loans and real estate-related assets. The Company's investments in investment funds and its other alternative investments have experienced, and the Company expects to continue to experience, greater fluctuations in investment income. The Company's share of the earnings or losses from investment funds is generally reported on a one-quarter lag in order to facilitate the timely completion of the Company's consolidated financial statements.
Critical Accounting Estimates
The following presents a discussion of accounting policies and estimates relating to reserves for losses and loss expenses, assumed premiums and allowance for expected credit losses and fair value measurements on investments. Management believes these policies and estimates are the most critical to its operations and require the most difficult, subjective and complex judgments.
Reserves for Losses and Loss Expenses. To recognize liabilities for unpaid losses, either known or unknown, insurers establish reserves, which is a balance sheet account representing estimates of future amounts needed to pay claims and related expenses with respect to insured events which have occurred. Estimates and assumptions relating to reserves for losses and loss expenses are based on complex and subjective judgments, often including the interplay of specific uncertainties with related accounting and actuarial measurements. Such estimates are also susceptible to change as significant periods of time may elapse between the occurrence of an insured loss, the report of the loss to the insurer, the ultimate determination of the cost of the loss and the insurer’s payment of that loss.
In general, when a claim is reported, claims personnel establish a “case reserve” for the estimated amount of the ultimate payment based upon known information about the claim at that time. The estimate represents an informed judgment based on general reserving practices and reflects the experience and knowledge of the claims personnel regarding the nature and value of the specific type of claim. Reserves are also established on an aggregate basis to provide for losses incurred but not reported (“IBNR”) to the insurer, potential inadequacy of case reserves and the estimated expenses of settling claims, including legal and other fees and general expenses of administrating the claims adjustment process. Reserves are established based upon the then current legal interpretation of coverage provided.
32
In examining reserve adequacy, several factors are considered in estimating the ultimate economic value of losses. These factors include, among other things, historical data, legal developments, changes in social attitudes and economic conditions, including the effects of inflation. The actuarial process relies on the basic assumption that past experience, adjusted judgmentally for the effects of current developments and anticipated trends, is an appropriate basis for predicting future outcomes. Reserve amounts are based on management’s informed estimates and judgments using currently available data. As additional experience and other data become available and are reviewed, these estimates and judgments may be revised. This may result in reserve increases or decreases that would be reflected in our results in periods in which such estimates and assumptions are changed.
Reserves do not represent an exact calculation of liability. Rather, reserves represent an estimate of what management expects the ultimate settlement and claim administration will cost. While the methods for establishing reserves are well tested over time, some of the major assumptions about anticipated loss emergence patterns are subject to uncertainty. These estimates, which generally involve actuarial projections, are based on management’s assessment of facts and circumstances then known, as well as estimates of trends in claims severity and frequency, judicial theories of liability and other factors, including the actions of third parties which are beyond the Company’s control. These variables are affected by external and internal events, such as inflation and economic volatility, judicial and litigation trends, reinsurance coverage, legislative changes and claim handling and reserving practices, which make it more difficult to accurately predict claim costs. The inherent uncertainties of estimating reserves are greater for certain types of liabilities where long periods of time elapse before a definitive determination of liability is made. Because setting reserves is inherently uncertain, the Company cannot provide assurance that its current reserves will prove adequate in light of subsequent events.
Loss reserves included in the Company’s financial statements represent management’s best estimates based upon an actuarially derived point estimate and other considerations. The Company uses a variety of actuarial techniques and methods to derive an actuarial point estimate for each operating unit. These methods include paid loss development, incurred loss development, paid and incurred Bornhuetter-Ferguson methods and frequency and severity methods. In circumstances where one actuarial method is considered more credible than the others, that method is used to set the point estimate. For example, the paid loss and incurred loss development methods rely on historical paid and incurred loss data. For new lines of business, where there is insufficient history of paid and incurred claims data, or in circumstances where there have been significant changes in claim practices, the paid and incurred loss development methods would be less credible than other actuarial methods. The actuarial point estimate may also be based on a judgmental weighting of estimates produced from each of the methods considered. Industry loss experience is used to supplement the Company’s own data in selecting “tail factors” and in areas where the Company’s own data is limited. The actuarial data is analyzed by line of business, coverage and accident or policy year, as appropriate, for each operating unit.
The establishment of the actuarially derived loss reserve point estimate also includes consideration of qualitative factors that may affect the ultimate losses. These qualitative considerations include, among others, the impact of re-underwriting initiatives, changes in the mix of business, changes in distribution sources and changes in policy terms and conditions. Examples of changes in terms and conditions that can have a significant impact on reserve levels are the use of aggregate policy limits, the expansion of coverage exclusions, whether or not defense costs are within policy limits, and changes in deductibles and attachment points.
The key assumptions used to arrive at the best estimate of loss reserves are the expected loss ratios, rate of loss cost inflation, and reported and paid loss emergence patterns. Expected loss ratios represent management’s expectation of losses at the time the business is written, before any actual claims experience has emerged. This expectation is a significant determinant of the estimate of loss reserves for recently written business where there is little paid or incurred loss data to consider. Expected loss ratios are generally derived from historical loss ratios adjusted for the impact of rate changes, loss cost trends and known changes in the type of risks underwritten. Expected loss ratios are estimated for each key line of business within each operating unit. Expected loss cost inflation is particularly important for the long-tail lines, such as excess casualty, and claims with a high medical component, such as workers’ compensation. Reported and paid loss emergence patterns are used to project current reported or paid loss amounts to their ultimate settlement value. Loss development factors are based on the historical emergence patterns of paid and incurred losses, and are derived from the Company’s own experience and industry data. The paid loss emergence pattern is also significant to excess and assumed workers’ compensation reserves because those reserves are discounted to their estimated present value based upon such estimated payout patterns. Management believes the estimates and assumptions it makes in the reserving process provide the best estimate of the ultimate cost of settling claims and related expenses with respect to insured events which have occurred; however, different assumptions and variables could lead to significantly different reserve estimates.
33
Loss frequency and severity are measures of loss activity that are considered in determining the key assumptions described in our discussion of loss and loss expense reserves, including expected loss ratios, rate of loss cost inflation and reported and paid loss emergence patterns. Loss frequency is a measure of the number of claims per unit of insured exposure, and loss severity is a measure of the average size of claims. Factors affecting loss frequency include the effectiveness of loss controls and safety programs and changes in economic activity or weather patterns. Factors affecting loss severity include changes in policy limits, retentions, rate of inflation and judicial interpretations.
[Excerpt truncated for page length; source filing is linked above.]
Latest 10-K MD&A (excerpt)
Latest 10-K Item 7 source: 0000011544-26-000005. The complete FY 2025 MD&A is published at /company/WRB/mda/fy2025/.
ITEM 7. MANAGEMENT'S DISCUSSION AND ANALYSIS OF FINANCIAL CONDITION AND RESULTS OF OPERATIONS
Overview
W. R. Berkley Corporation is an insurance holding company that is among the largest commercial lines writers in the United States and operates worldwide in two segments of the property and casualty business: Insurance and Reinsurance & Monoline Excess. Our decentralized structure provides us with the flexibility to respond quickly and efficiently to local or specific market conditions and to pursue specialty business niches. It also allows us to be closer to our customers in order to better understand their individual needs and risk characteristics. While providing our businesses with certain operating autonomy, our structure allows us to capitalize on the benefits of economies of scale through centralized capital, investment, reinsurance, enterprise risk management, and actuarial, financial and corporate compliance support. The Company’s primary sources of revenues and earnings are its insurance operations and its investments.
An important part of our strategy is to form new businesses to capitalize on various opportunities. Over the years, the Company has formed numerous businesses that are focused on important parts of the economy in the U.S., including healthcare, cyber security, energy and agriculture, and on growing international markets, including the Asia-Pacific region, South America and Mexico.
The profitability of the Company’s insurance business is affected primarily by the adequacy of premium rates. The ultimate adequacy of premium rates is not known with certainty at the time an insurance policy is issued because premiums are determined before claims are reported. The ultimate adequacy of premium rates is affected mainly by the severity and frequency of claims, which are influenced by many factors, including natural and other disasters, regulatory measures and court decisions that define and change the extent of coverage and the effects of economic or social inflation on the amount of compensation for injuries or losses. General insurance prices are also influenced by available insurance capacity, i.e., the level of capital employed in the industry, and the industry’s willingness to deploy that capital.
The Company’s profitability is also affected by its investment income and investment gains. The Company’s invested assets are invested principally in fixed maturity securities. The return on fixed maturity securities is affected primarily by general interest rates, as well as the credit quality and duration of the securities.
The Company also invests in equity securities, merger arbitrage securities, investment funds, private equity, loans and real estate related assets. The Company's investments in investment funds and its other alternative investments have experienced, and the Company expects to continue to experience, greater fluctuations in investment income. The Company's share of the earnings or losses from investment funds is generally reported on a one-quarter lag in order to facilitate the timely completion of the Company's consolidated financial statements.
46
Critical Accounting Estimates
The following presents a discussion of accounting policies and estimates relating to reserves for losses and loss expenses, assumed reinsurance premiums, allowance for expected credit losses and fair value measurements on investments. Management believes these policies and estimates are the most critical to its operations and require the most difficult, subjective and complex judgments.
Reserves for Losses and Loss Expenses. To recognize liabilities for unpaid losses, either known or unknown, insurers establish reserves, which is a balance sheet account representing estimates of future amounts needed to pay claims and related expenses with respect to insured events which have occurred. Estimates and assumptions relating to reserves for losses and loss expenses are based on complex and subjective judgments, often including the interplay of specific uncertainties with related accounting and actuarial measurements. Such estimates are also susceptible to change as significant periods of time may elapse between the occurrence of an insured loss, the report of the loss to the insurer, the ultimate determination of the cost of the loss and the insurer’s payment of that loss.
In general, when a claim is reported, claims personnel establish a “case reserve” for the estimated amount of the ultimate payment based upon known information about the claim at that time. The estimate represents an informed judgment based on general reserving practices and reflects the experience and knowledge of the claims personnel regarding the nature and value of the specific type of claim. Reserves are also established on an aggregate basis to provide for losses incurred but not reported (“IBNR”) to the insurer, potential inadequacy of case reserves and the estimated expenses of settling claims, including legal and other fees and general expenses of administrating the claims adjustment process. Reserves are established based upon the then current legal interpretation of coverage provided.
In examining reserve adequacy, several factors are considered in estimating the ultimate economic value of losses. These factors include, among other things, historical data, legal developments, changes in social attitudes and economic conditions, including the effects of inflation. The actuarial process relies on the basic assumption that past experience, adjusted judgmentally for the effects of current developments and anticipated trends, is an appropriate basis for predicting future outcomes. Reserve amounts are based on management’s informed estimates and judgments using currently available data. As additional experience and other data become available and are reviewed, these estimates and judgments may be revised. This may result in reserve increases or decreases that would be reflected in our results in periods in which such estimates and assumptions are changed.
Reserves do not represent a certain calculation of liability. Rather, reserves represent an estimate of what management expects the ultimate settlement and claim administration will cost. While the methods for establishing reserves are well tested over time, the major assumptions about anticipated loss emergence patterns are subject to uncertainty. These estimates, which generally involve actuarial projections, are based on management’s assessment of facts and circumstances then known, as well as estimates of trends in claims severity and frequency, judicial theories of liability and other factors, including the actions of third parties which are beyond the Company’s control. These variables are affected by external and internal events, such as inflation and economic volatility, judicial and litigation trends, reinsurance coverage, legislative changes and claim handling and reserving practices, which make it more difficult to accurately predict claim costs. The inherent uncertainties of estimating reserves are greater for certain types of liabilities where long periods of time elapse before a definitive determination of liability is made. Because setting reserves is inherently uncertain, the Company cannot provide assurance that its current reserves will prove adequate in light of subsequent events.
Loss reserves included in the Company’s financial statements represent management’s best estimates based upon an actuarially derived point estimate and other considerations. The Company uses a variety of actuarial techniques and methods to derive an actuarial point estimate for each business. These methods include paid loss development, incurred loss development, paid and incurred Bornhuetter-Ferguson methods and frequency and severity methods. In circumstances where one actuarial method is considered more credible than the others, that method is used to set the point estimate. For example, the paid loss and incurred loss development methods rely on historical paid and incurred loss data. For new lines of business, where there is insufficient history of paid and incurred claims data, or in circumstances where there have been significant changes in claim practices, the paid and incurred loss development methods would be less credible than other actuarial methods. The actuarial point estimate may also be based on a judgmental weighting of estimates produced from each of the methods considered. Industry loss experience is used to supplement the Company’s own data in selecting “tail factors” and in areas where the Company’s own data is limited. The actuarial data is analyzed by line of business, coverage and accident or policy year, as appropriate, for each business.
The establishment of the actuarially derived loss reserve point estimate also includes consideration of qualitative factors that may affect the ultimate losses. These qualitative considerations include, among others, the impact of re-underwriting initiatives, changes in the mix of business, changes in distribution sources and changes in policy terms and conditions. Examples of changes in terms and conditions that can have a significant impact on reserve levels are the use of
47
aggregate policy limits, the expansion of coverage exclusions, whether or not defense costs are within policy limits, and changes in deductibles and attachment points.
The key assumptions used to arrive at the best estimate of loss reserves are the expected loss ratios, rate of loss cost inflation, and reported and paid loss emergence patterns. Expected loss ratios represent management’s expectation of losses at the time the business is priced and written, before any actual claims experience has emerged. This expectation is a significant determinant of the estimate of loss reserves for recently written business where there is little paid or incurred loss data to consider. Expected loss ratios are generally derived from historical loss ratios adjusted for the impact of rate changes, loss cost trends and known changes in the type of risks underwritten. Expected loss ratios are estimated for each key line of business within each business. Expected loss cost inflation is particularly important for the long-tail lines, such as excess casualty, and claims with a high medical component, such as workers’ compensation. Reported and paid loss emergence patterns are used to project current reported or paid loss amounts to their ultimate settlement value. Loss development factors are based on the historical emergence patterns of paid and incurred losses, and are derived from the Company’s own experience and industry data. The paid loss emergence pattern is also significant to excess and assumed workers’ compensation reserves because those reserves are discounted to their estimated present value based upon such estimated payout patterns. Management believes the estimates and assumptions it makes in the reserving process provide the best estimate of the ultimate cost of settling claims and related expenses with respect to insured events which have occurred; however, different assumptions and variables could lead to significantly different reserve estimates.
Loss frequency and severity are measures of loss activity that are considered in determining the key assumptions described in our discussion of loss and loss expense reserves, including expected loss ratios, rate of loss cost inflation and reported and paid loss emergence patterns. Loss frequency is a measure of the number of claims per unit of insured exposure, and loss severity is a measure of the average size of claims. Factors affecting loss frequency include the effectiveness of loss controls and safety programs and changes in economic activity or weather patterns. Factors affecting loss severity include changes in policy limits, retentions, rate of inflation and judicial interpretations.
Another factor affecting estimates of loss frequency and sever
[Excerpt truncated for page length; the complete text is on the linked full-MD&A page.]
MD&A history
Prior-year 10-K MD&A spans are extracted from SEC filings with the same bounded parser used for the latest filing. Each year's full verbatim text is on its own sub-page.