Saving and Borrowing





Kerry Back

Saving

  • Uninvested funds should earn money market rate.
  • \(n\) risky assets, \(w_i\) = weights, \(x_s\) = fraction of portfolio earning money market rate

\[x_s = 1 - \sum_{i=1}^n w_i\]

Expected return and risk

  • Let \(r_s\) = money market rate (saving rate)
  • portfolio expected return is \(x_sr_s + \bar{r}^\top w\)
  • portfolio variance is still \(w^\top C w\)

Fully invested portfolio

  • Because \(\sum w_i < 1\), we can view \((w_1, \ldots, w_n)\) as a scaled down version of a fully-invested portfolio.
  • \(x_s\) in savings and \(1-x_s\) in the fully invested portfolio
    • \(\hat{w}_i = w_i/(1-x_s)\) are the fully invested weights
    • \(\sum \hat{w}_i = \sum w_i/(1-x_s) = 1\)
    • \(w_i = (1-x_s)\hat{w}_i\)

Risk premium and Sharpe ratio

  • For any asset or portfolio, expected return minus \(r_s\) is called its risk premium
    • It is compensation for risk.
  • (expected return - \(r_s\)) / std dev is called the Sharpe ratio
    • It is the reward-to-risk ratio.

Portfolio Risk premium

  • weights \(w_i = (1-x_s)\hat{w}_i\) where \(\sum \hat{w}_i=1\)
  • risk premium is

\[x_sr_s + (1-x_s)\sum_{i=1}^n \hat{w}_i \bar{r}_i - r_s\]

  • This is \((1-x_s)\left[\sum_{i=1}^n \hat{w}_i \bar{r}_i - r_s\right]\)

Standard deviation and Sharpe ratio

  • variance is \((1-x_s)\hat{w}^\top C \hat{w}(1-x_s)\)

  • std dev is \((1-x_s)\sqrt{\hat{w}^\top C \hat{w}}\)

  • So, \(1-x_s\) is in both numerator and denominator of Sharpe ratio. Sharpe ratio doesn’t depend on \(x_s\)

Example

\(r_s\) = 2%. Fully invested portfolio has \(\bar{r}\) = 10%, std dev = 15%.

Line is set of (std dev, mean) pairs generated by \(0 \le x_s \le 1\). Slope is Sharpe ratio.

Borrowing (Margin loans)

  • \(x_b \ge 0\) is fraction borrowed, \(r_b\) = borrowing rate
  • portfolio expected return is \(w^\top \bar{r} - x_br_b\)
  • portfolio variance is still \(w^\top C w\)
  • weights are \(w_i = (1+x_b)\hat{w}_i\) for a fully invested portfolio \(\hat{w}\)
  • portfolio mean is \((1+x_b)\bar{r}^\top \hat w - x_br_b\) and std dev is \((1+x_b)\sqrt{\hat{w}^\top C \hat{w}}\)
  • Sharpe ratio (mean - \(r_b\)) / std dev is invariant to \(x_b\)

Example

\(r_b\) = 5%. Fully invested portfolio has \(\bar{r}\) = 10%, std dev = 15%.

Line is set of (std dev, mean) pairs generated by \(0 \le x_b \le 1\). Slope is Sharpe ratio at borrowing rate.

Saving and borrowing opportunities

\(r_s\) = 2% and \(r_b\) = 5%. Fully invested portfolio has \(\bar{r}\) = 10%, std dev = 15%.

Opportunities for \(0\le x_s \le 1\) or \(0 \le x_b \le 1\).