Correlation Between Hi Tech and Punjab Oil
Can any of the company-specific risk be diversified away by investing in both Hi Tech and Punjab Oil 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 Hi Tech and Punjab Oil into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hi Tech Lubricants and Punjab Oil Mills, you can compare the effects of market volatilities on Hi Tech and Punjab Oil 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 Hi Tech with a short position of Punjab Oil. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hi Tech and Punjab Oil.
Diversification Opportunities for Hi Tech and Punjab Oil
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between HTL and Punjab is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Hi Tech Lubricants and Punjab Oil Mills in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Punjab Oil Mills and Hi Tech 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 Hi Tech Lubricants are associated (or correlated) with Punjab Oil. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Punjab Oil Mills has no effect on the direction of Hi Tech i.e., Hi Tech and Punjab Oil go up and down completely randomly.
Pair Corralation between Hi Tech and Punjab Oil
Assuming the 90 days trading horizon Hi Tech Lubricants is expected to generate 0.93 times more return on investment than Punjab Oil. However, Hi Tech Lubricants is 1.07 times less risky than Punjab Oil. It trades about 0.07 of its potential returns per unit of risk. Punjab Oil Mills is currently generating about 0.05 per unit of risk. If you would invest 2,556 in Hi Tech Lubricants on September 14, 2024 and sell it today you would earn a total of 2,958 from holding Hi Tech Lubricants or generate 115.73% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 72.78% |
Values | Daily Returns |
Hi Tech Lubricants vs. Punjab Oil Mills
Performance |
Timeline |
Hi Tech Lubricants |
Punjab Oil Mills |
Hi Tech and Punjab Oil Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hi Tech and Punjab Oil
The main advantage of trading using opposite Hi Tech and Punjab Oil positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hi Tech position performs unexpectedly, Punjab Oil 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 Punjab Oil will offset losses from the drop in Punjab Oil's long position.Hi Tech vs. Masood Textile Mills | Hi Tech vs. Fauji Foods | Hi Tech vs. KSB Pumps | Hi Tech vs. Mari Petroleum |
Punjab Oil vs. Askari General Insurance | Punjab Oil vs. Hi Tech Lubricants | Punjab Oil vs. TPL Insurance | Punjab Oil vs. EFU General Insurance |
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 Money Managers module to screen money managers from public funds and ETFs managed around the world.
Other Complementary Tools
Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Money Managers Screen money managers from public funds and ETFs managed around the world | |
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets |