OAKTRSPECLENDNEW's market value is the price at which a share of OAKTRSPECLENDNEW trades on a public exchange. It measures the collective expectations of OAKTRSPECLENDNEW investors about its performance. OAKTRSPECLENDNEW is trading at 15.08 as of the 29th of November 2024. This is a 0.26% down since the beginning of the trading day. The stock's lowest day price was 15.08. With this module, you can estimate the performance of a buy and hold strategy of OAKTRSPECLENDNEW and determine expected loss or profit from investing in OAKTRSPECLENDNEW over a given investment horizon. Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Symbol
OAKTRSPECLENDNEW
OAKTRSPECLENDNEW '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 OAKTRSPECLENDNEW'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 OAKTRSPECLENDNEW.
0.00
10/30/2024
No Change 0.00
0.0
In 31 days
11/29/2024
0.00
If you would invest 0.00 in OAKTRSPECLENDNEW on October 30, 2024 and sell it all today you would earn a total of 0.00 from holding OAKTRSPECLENDNEW or generate 0.0% return on investment in OAKTRSPECLENDNEW over 30 days.
OAKTRSPECLENDNEW 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 OAKTRSPECLENDNEW'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 OAKTRSPECLENDNEW upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for OAKTRSPECLENDNEW's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as OAKTRSPECLENDNEW's standard deviation. In reality, there are many statistical measures that can use OAKTRSPECLENDNEW historical prices to predict the future OAKTRSPECLENDNEW's volatility.
At this point, OAKTRSPECLENDNEW is not too volatile. OAKTRSPECLENDNEW maintains Sharpe Ratio (i.e., Efficiency) of 0.0288, which implies the company had a 0.0288% return per unit of volatility over the last 3 months. We have found twenty-seven technical indicators for OAKTRSPECLENDNEW, which you can use to evaluate the volatility of the entity. Please check OAKTRSPECLENDNEW's coefficient of variation of 2305.44, and Market Risk Adjusted Performance of (1.61) to confirm if the risk estimate we provide is consistent with the expected return of 0.0439%. OAKTRSPECLENDNEW has a performance score of 2 on a scale of 0 to 100. The firm holds a Beta of -0.0343, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning OAKTRSPECLENDNEW are expected to decrease at a much lower rate. During the bear market, OAKTRSPECLENDNEW is likely to outperform the market. OAKTRSPECLENDNEW now holds a risk of 1.53%. Please check OAKTRSPECLENDNEW jensen alpha, sortino ratio, and the relationship between the information ratio and total risk alpha , to decide if OAKTRSPECLENDNEW will be following its historical price patterns.
Auto-correlation
0.39
Below average predictability
OAKTRSPECLENDNEW has below average predictability. Overlapping area represents the amount of predictability between OAKTRSPECLENDNEW time series from 30th of October 2024 to 14th of November 2024 and 14th of November 2024 to 29th 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 OAKTRSPECLENDNEW price movement. The serial correlation of 0.39 indicates that just about 39.0% of current OAKTRSPECLENDNEW price fluctuation can be explain by its past prices.
Correlation Coefficient
0.39
Spearman Rank Test
0.19
Residual Average
0.0
Price Variance
0.04
OAKTRSPECLENDNEW lagged returns against current returns
Autocorrelation, which is OAKTRSPECLENDNEW 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 OAKTRSPECLENDNEW's stock expected returns. We can calculate the autocorrelation of OAKTRSPECLENDNEW returns to help us make a trade decision. For example, suppose you find that OAKTRSPECLENDNEW 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
OAKTRSPECLENDNEW 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 OAKTRSPECLENDNEW stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if OAKTRSPECLENDNEW stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in OAKTRSPECLENDNEW stock over time.
Current vs Lagged Prices
Timeline
OAKTRSPECLENDNEW Lagged Returns
When evaluating OAKTRSPECLENDNEW's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of OAKTRSPECLENDNEW stock have on its future price. OAKTRSPECLENDNEW 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, OAKTRSPECLENDNEW autocorrelation shows the relationship between OAKTRSPECLENDNEW stock current value and its past values and can show if there is a momentum factor associated with investing in OAKTRSPECLENDNEW.