Tesla Inc Cdr Stock Market Value
| TSLA Stock | 30.87 1.27 3.95% |
| Symbol | Tesla |
Tesla 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Tesla's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Tesla.
| 10/26/2024 |
| 11/25/2024 |
If you would invest 0.00 in Tesla on October 26, 2024 and sell it all today you would earn a total of 0.00 from holding Tesla Inc CDR or generate 0.0% return on investment in Tesla over 30 days. Tesla is related to or competes with Canlan Ice, Chemtrade Logistics, DRI Healthcare, Cogeco Communications, and Salesforce. Tesla is entity of Canada. It is traded as Stock on NEO exchange. More
Tesla Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Tesla's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Tesla Inc CDR upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.28 | |||
| Information Ratio | 0.1419 | |||
| Maximum Drawdown | 27.76 | |||
| Value At Risk | (5.68) | |||
| Potential Upside | 8.04 |
Tesla Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Tesla's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Tesla's standard deviation. In reality, there are many statistical measures that can use Tesla historical prices to predict the future Tesla's volatility.| Risk Adjusted Performance | 0.1387 | |||
| Jensen Alpha | 0.6963 | |||
| Total Risk Alpha | 0.0479 | |||
| Sortino Ratio | 0.2017 | |||
| Treynor Ratio | 1.1 |
Tesla Inc CDR Backtested Returns
Tesla appears to be not too volatile, given 3 months investment horizon. Tesla Inc CDR owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.18, which indicates the firm had a 0.18% return per unit of risk over the last 3 months. By inspecting Tesla's technical indicators, you can evaluate if the expected return of 0.86% is justified by implied risk. Please review Tesla's Coefficient Of Variation of 588.58, risk adjusted performance of 0.1387, and Semi Deviation of 2.75 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Tesla holds a performance score of 14. The entity has a beta of 0.71, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Tesla's returns are expected to increase less than the market. However, during the bear market, the loss of holding Tesla is expected to be smaller as well. Please check Tesla's treynor ratio, value at risk, downside variance, as well as the relationship between the maximum drawdown and potential upside , to make a quick decision on whether Tesla's existing price patterns will revert.
Auto-correlation | 0.43 |
Average predictability
Tesla Inc CDR has average predictability. Overlapping area represents the amount of predictability between Tesla time series from 26th of October 2024 to 10th of November 2024 and 10th of November 2024 to 25th of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Tesla Inc CDR price movement. The serial correlation of 0.43 indicates that just about 43.0% of current Tesla price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.43 | |
| Spearman Rank Test | -0.15 | |
| Residual Average | 0.0 | |
| Price Variance | 1.17 |
Tesla Inc CDR lagged returns against current returns
Autocorrelation, which is Tesla stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Tesla's stock expected returns. We can calculate the autocorrelation of Tesla returns to help us make a trade decision. For example, suppose you find that Tesla has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Tesla regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Tesla stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Tesla stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Tesla stock over time.
Current vs Lagged Prices |
| Timeline |
Tesla Lagged Returns
When evaluating Tesla's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Tesla stock have on its future price. Tesla autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Tesla autocorrelation shows the relationship between Tesla stock current value and its past values and can show if there is a momentum factor associated with investing in Tesla Inc CDR.
Regressed Prices |
| Timeline |
Pair Trading with Tesla
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Tesla position performs unexpectedly, the other equity 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 Tesla will appreciate offsetting losses from the drop in the long position's value.Moving against Tesla Stock
The ability to find closely correlated positions to Tesla could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Tesla when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Tesla - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Tesla Inc CDR to buy it.
The correlation of Tesla is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Tesla moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Tesla Inc CDR moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Tesla can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in Tesla Stock
Tesla financial ratios help investors to determine whether Tesla Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Tesla with respect to the benefits of owning Tesla security.