26.2 Theories of the Cycle
Different researches findings below are often contradictory due to:
Research typically focused on different LoBs
Often focus on just one stage
26.2.1 Institutional Factors
Lags in data can lead to cycles
Reporting and regulatory delays leads to 2nd order autoregression
26.2.2 Competition
Competition drives prices down:
Players might not behave rationally
Someone might underestimate the expected loss (winner’s curse)
Companies strategy is either aggressive growth (through price reduction) or price maintenance
Once a large portion of the market is dropping prices, price maintenance is not sustainable
Incumbents drop price so as to convince the aggressive players that they should focus on profits, rather than market share and thus get back to higher prices sooner
Dowling’s 4 phases of cycle
Cheating (optimistic reserve levels)
Pain
Fear
Restoration
26.2.3 Supply and Demand, Capital Constraints and Shocks
Capital determines the available supply of insurance
- Losses that reduce capital will reduce the supply \(\Rightarrow\) Increase price
Capital is not replaced quickly once reduced (debatable now with ILS)
\(\therefore\) Market does not rebound quickly
Best clients may leave first when capital \(\downarrow\) \(\Rightarrow\) anti-selection
\(\therefore\) Declining profits exacerbated by anti-selection
26.2.4 Economic Linkages
Profitability of firm links to the economy
Investment income, cost of capital
Expected losses may impacted by: inflation, GNP growth, unemployment
Price of risk (may be set by the market)
- Is generally ignored by insurers
26.2.5 All of the Above
No single theory can explain the u/w cycle completely