Correlation Between Intel and SPDR SP
Can any of the company-specific risk be diversified away by investing in both Intel and SPDR SP at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Intel and SPDR SP into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Intel and SPDR SP China, you can compare the effects of market volatilities on Intel and SPDR SP and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Intel with a short position of SPDR SP. Check out your portfolio center. Please also check ongoing floating volatility patterns of Intel and SPDR SP.
Diversification Opportunities for Intel and SPDR SP
Poor diversification
The 3 months correlation between Intel and SPDR is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Intel and SPDR SP China in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPDR SP China and Intel is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Intel are associated (or correlated) with SPDR SP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPDR SP China has no effect on the direction of Intel i.e., Intel and SPDR SP go up and down completely randomly.
Pair Corralation between Intel and SPDR SP
Given the investment horizon of 90 days Intel is expected to generate 1.62 times more return on investment than SPDR SP. However, Intel is 1.62 times more volatile than SPDR SP China. It trades about 0.01 of its potential returns per unit of risk. SPDR SP China is currently generating about 0.01 per unit of risk. If you would invest 2,758 in Intel on August 27, 2024 and sell it today you would lose (308.00) from holding Intel or give up 11.17% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Intel vs. SPDR SP China
Performance |
| Timeline |
| Intel |
| SPDR SP China |
Intel and SPDR SP Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Intel and SPDR SP
The main advantage of trading using opposite Intel and SPDR SP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Intel position performs unexpectedly, SPDR SP can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in SPDR SP will offset losses from the drop in SPDR SP's long position.The idea behind Intel and SPDR SP China pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| SPDR SP vs. iShares MSCI Singapore | SPDR SP vs. iShares MSCI Malaysia | SPDR SP vs. iShares MSCI Australia | SPDR SP vs. iShares MSCI South |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
Other Complementary Tools
| Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
| Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
| Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences | |
| Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets |