Correlation Between TuanChe ADR and Nextdoor Holdings
Can any of the company-specific risk be diversified away by investing in both TuanChe ADR and Nextdoor Holdings 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 TuanChe ADR and Nextdoor Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between TuanChe ADR and Nextdoor Holdings, you can compare the effects of market volatilities on TuanChe ADR and Nextdoor Holdings 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 TuanChe ADR with a short position of Nextdoor Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of TuanChe ADR and Nextdoor Holdings.
Diversification Opportunities for TuanChe ADR and Nextdoor Holdings
-0.35 | Correlation Coefficient |
Very good diversification
The 3 months correlation between TuanChe and Nextdoor is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding TuanChe ADR and Nextdoor Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nextdoor Holdings and TuanChe ADR 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 TuanChe ADR are associated (or correlated) with Nextdoor Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nextdoor Holdings has no effect on the direction of TuanChe ADR i.e., TuanChe ADR and Nextdoor Holdings go up and down completely randomly.
Pair Corralation between TuanChe ADR and Nextdoor Holdings
Allowing for the 90-day total investment horizon TuanChe ADR is expected to under-perform the Nextdoor Holdings. In addition to that, TuanChe ADR is 2.45 times more volatile than Nextdoor Holdings. It trades about -0.08 of its total potential returns per unit of risk. Nextdoor Holdings is currently generating about 0.03 per unit of volatility. If you would invest 238.00 in Nextdoor Holdings on September 3, 2024 and sell it today you would earn a total of 5.00 from holding Nextdoor Holdings or generate 2.1% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
TuanChe ADR vs. Nextdoor Holdings
Performance |
Timeline |
TuanChe ADR |
Nextdoor Holdings |
TuanChe ADR and Nextdoor Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with TuanChe ADR and Nextdoor Holdings
The main advantage of trading using opposite TuanChe ADR and Nextdoor Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if TuanChe ADR position performs unexpectedly, Nextdoor Holdings 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 Nextdoor Holdings will offset losses from the drop in Nextdoor Holdings' long position.TuanChe ADR vs. Alphabet Inc Class A | TuanChe ADR vs. Twilio Inc | TuanChe ADR vs. Snap Inc | TuanChe ADR vs. Baidu Inc |
Nextdoor Holdings vs. IAC Inc | Nextdoor Holdings vs. Yelp Inc | Nextdoor Holdings vs. Groupon | Nextdoor Holdings vs. Outbrain |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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