Abstract
A new approach is proposed for analysing portfolio allocation over various time scales. This new approach is based on wavelet analysis, which decomposes a given time series on a scale-by-scale basis. Empirical results indicate that, as the investment horizon lengthens, a greater weighting should be allocated to stocks. An explanation for this result is that the mean-reverting property of stock returns causes investors to perceive that stocks are less risky than bonds and T-bills at longer time scales compared with shorter time scales. When we include the effect of risk aversion, it is found that the higher the risk aversion, the less the Sharpe ratio, indicating that a more conservative investor prefers a smoother consumption stream.
| Original language | English |
|---|---|
| Pages (from-to) | 443-453 |
| Number of pages | 11 |
| Journal | Quantitative Finance |
| Volume | 10 |
| Issue number | 4 |
| DOIs | |
| State | Published - Apr 2010 |
Keywords
- Applied econometrics
- Applied finance
- Applied micro-econometrics
- Asset allocation
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