Futures Shock
Stocks and Treasuries: Is One Market Smarter?
If this ratio is compared with the logarithm of the deflated S&P 500, we see almost no discernible pattern of causality. The late-1990s bubble occurred in the face of a flattening yield curve. The recent bear market has occurred in spite of the most panicked reaction on the part of the Fed since 1958, a year which seems to be getting a lot of attention in interest rate circles of late.
| Steeper Yield Curves Don't Help Stocks |
| Source: Federal Reserve, TSC Research |
Comparative Prediction
In testing for whether either market can forecast industrial production or unemployment, we once again will use the concept called Granger causation. Just like last week in our discussion of stocks and corporate bond spreads, we have to conclude that neither market is truly causative. However, stocks once again get the advantage. Returns on the deflated S&P 500 lead changes in industrial production and unemployment with lags of three and seven months, respectively, with R-squares of 5.70% and 2.93%, respectively. Returns on 10-year notes had much shorter leads, one month and no lag, respectively, and R-squares of 0.48% and 0.57%, respectively, for industrial production and unemployment. Both macroeconomic variables explained themselves -- autoregression -- at much higher R-squares, 10.50% and 7.41%.| Edge for Stocks | ||
| Autoregressive | ||
| Ind. Prod | Unemployment | |
| 10.50% | 7.41% | |
| Cross Dependent | ||
| Independent | Ind. Prod | Unemployment |
| S&P 500 | 5.70% | 2.93% |
| Ten-Year | 0.48% | 0.57% |
| Source: TSC Research | ||
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| Dow Jones | S&P 500 | NASDAQ | 10-Year Note |
|
|---|---|---|---|---|
| 12,419.86 | 1,313.32 | 2,837.36 | 16.25 |
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