FIN 230 CH. 4: Enterprise Risk Management and Related Topics

Financial Risk Management

The identification, analysis, and treatment of speculative financial risks which include:

• Commodity price risk

• Interest rate risk

• currency exchange rate risk

Commodity Price Risk

The risk of losing money if the price of a commodity changes

Interest Rate Risk

The risk of loss caused by adverse interest rate movement

Currency Exchange Rate Risk

The risk of loss of values caused by changes in the rate at which one nation’s currency may be converted to another nation’s currency

Chief Risk Officer

Responsible for the treatment of pure and speculative risks and faced by the organization

Combining responsibilities in one area permits treatment of risk in a unified, and often economical, way

Double-Trigger Option

A provision that provides for payment only if two specified

Enterprise Risk Management (ERM)

A comprehensive risk management program that addresses all risk management faced by organization including, pure risk, speculative financial risks, strategic risk., operational risk and others.

Distinguish aspects of ERM program

• Looks at all company risks together rather than in isolation

• Focuses on how major internal systems, circumstances, and decisions impact ris

• Recognizes that total risk exposure across the whole company is often greater than the sum of individual risk

• Provide a clear system for handling all types of risk, whether quantifiable or not

• Usese effective risk management to gain an advantage over competitors

• Ensures risk evaluation is build directly into key business choices and strategy

Hard Market

Tight underwriting standards, high premiums, and limited coverage capacity, making insurance harder to obtain.

Soft Market

Loose underwriting standards, lower premiums, and expanded capacity due to strong competition among insurers.

Capacity and Surplus

An insurer’s capacity (the maximum amount of insurance it can write) is tied directly to its policyholders' surplus (the difference between assets and liabilities).

Consolidation and Captal Markets

The insurance industry experiences market shifts driven by mergers/acquisitions and alternative risk-transfer mechanisms—such as catastrophe bonds—which allow capital markets to absorb insurance risks.

Loss Forcasting

Risk managers use statistical techniques to predict future losses based on historical data

Examples of Loss Forcasting

• Probability Analysis

• Regression Analysis

• Loss Distribution

Probability Analysis

Calculating the likelihood of specific loss events using rules of probability (e.g., independent vs. dependent events).

Regression Analysis

Calculating the likelihood of specific loss events using rules of probability (e.g., independent vs. dependent events).

Loss Distribution

Using probability distributions (like Poisson or normal distributions) to model the frequency and severity of losses.