Olo Inc Etf Market Value
| OLO Etf | USD 7.29 0.03 0.41% |
| Symbol | Olo |
The market value of Olo Inc is measured differently than its book value, which is the value of Olo that is recorded on the company's balance sheet. Investors also form their own opinion of Olo's value that differs from its market value or its book value, called intrinsic value, which is Olo's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Olo's market value can be influenced by many factors that don't directly affect Olo's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Olo's value and its price as these two are different measures arrived at by different means. Investors typically determine if Olo is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Olo's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Olo '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 Olo's etf 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 Olo.
| 01/07/2024 |
| 12/02/2024 |
If you would invest 0.00 in Olo on January 7, 2024 and sell it all today you would earn a total of 0.00 from holding Olo Inc or generate 0.0% return on investment in Olo over 330 days. Olo is related to or competes with SimilarWeb, Expensify, CS Disco, Riskified, PROS Holdings, Meridianlink, and Enfusion. Olo Inc. provides software-as-a-service platform for multi-location restaurants in the United States More
Olo 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 Olo's etf 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 Olo Inc upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.98 | |||
| Information Ratio | 0.1435 | |||
| Maximum Drawdown | 14.85 | |||
| Value At Risk | (3.27) | |||
| Potential Upside | 4.91 |
Olo Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Olo's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Olo's standard deviation. In reality, there are many statistical measures that can use Olo historical prices to predict the future Olo's volatility.| Risk Adjusted Performance | 0.1549 | |||
| Jensen Alpha | 0.352 | |||
| Total Risk Alpha | 0.0626 | |||
| Sortino Ratio | 0.2014 | |||
| Treynor Ratio | 0.3867 |
Olo Inc Backtested Returns
Olo appears to be somewhat reliable, given 3 months investment horizon. Olo Inc maintains Sharpe Ratio (i.e., Efficiency) of 0.21, which implies the entity had a 0.21% return per unit of risk over the last 3 months. By analyzing Olo's technical indicators, you can evaluate if the expected return of 0.58% is justified by implied risk. Please evaluate Olo's Semi Deviation of 1.61, coefficient of variation of 517.79, and Risk Adjusted Performance of 0.1549 to confirm if our risk estimates are consistent with your expectations. The etf holds a Beta of 1.36, which implies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Olo will likely underperform.
Auto-correlation | -0.4 |
Poor reverse predictability
Olo Inc has poor reverse predictability. Overlapping area represents the amount of predictability between Olo time series from 7th of January 2024 to 20th of June 2024 and 20th of June 2024 to 2nd of December 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 Olo Inc price movement. The serial correlation of -0.4 indicates that just about 40.0% of current Olo price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.4 | |
| Spearman Rank Test | -0.49 | |
| Residual Average | 0.0 | |
| Price Variance | 0.5 |
Olo Inc lagged returns against current returns
Autocorrelation, which is Olo etf'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 Olo's etf expected returns. We can calculate the autocorrelation of Olo returns to help us make a trade decision. For example, suppose you find that Olo has exhibited high autocorrelation historically, and you observe that the etf 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 |
Olo 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 Olo etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Olo etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Olo etf over time.
Current vs Lagged Prices |
| Timeline |
Olo Lagged Returns
When evaluating Olo's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Olo etf have on its future price. Olo 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, Olo autocorrelation shows the relationship between Olo etf current value and its past values and can show if there is a momentum factor associated with investing in Olo Inc.
Regressed Prices |
| Timeline |
Pair Trading with Olo
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 Olo 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 Olo will appreciate offsetting losses from the drop in the long position's value.Moving together with Olo Etf
| 0.91 | DJCO | Daily Journal Corp | PairCorr |
| 0.84 | AI | C3 Ai Inc Earnings Call This Week | PairCorr |
| 0.79 | AZ | A2Z Smart Technologies | PairCorr |
| 0.71 | BL | Blackline | PairCorr |
Moving against Olo Etf
The ability to find closely correlated positions to Olo could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Olo 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 Olo - 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 Olo Inc to buy it.
The correlation of Olo 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 Olo moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Olo Inc 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 Olo 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 Olo Etf
Olo financial ratios help investors to determine whether Olo Etf 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 Olo with respect to the benefits of owning Olo security.