Ohio Variable College Fund Market Value
| BZECX Fund | USD 17.34 0.08 0.46% |
| Symbol | Ohio |
Please note, there is a significant difference between Ohio Variable's value and its price as these two are different measures arrived at by different means. Investors typically determine if Ohio Variable is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Ohio Variable'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.
Ohio Variable '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 Ohio Variable's mutual fund 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 Ohio Variable.
| 12/12/2024 |
| 03/12/2025 |
If you would invest 0.00 in Ohio Variable on December 12, 2024 and sell it all today you would earn a total of 0.00 from holding Ohio Variable College or generate 0.0% return on investment in Ohio Variable over 90 days. Ohio Variable is related to or competes with Goldman Sachs, Vanguard Energy, Guinness Atkinson, Franklin Natural, Oil Gas, and Blackrock All-cap. Ohio Variable is entity of United States More
Ohio Variable 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 Ohio Variable's mutual fund 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 Ohio Variable College upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.1033 | |||
| Maximum Drawdown | 2.96 | |||
| Value At Risk | (1.23) | |||
| Potential Upside | 0.9588 |
Ohio Variable Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ohio Variable's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ohio Variable's standard deviation. In reality, there are many statistical measures that can use Ohio Variable historical prices to predict the future Ohio Variable's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | 0.0439 | |||
| Treynor Ratio | 0.3971 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Ohio Variable's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Ohio Variable College Backtested Returns
Ohio Variable College maintains Sharpe Ratio (i.e., Efficiency) of -0.078, which implies the entity had a -0.078 % return per unit of risk over the last 3 months. Ohio Variable College exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Ohio Variable's Coefficient Of Variation of (1,276), risk adjusted performance of (0.07), and Variance of 0.4518 to confirm the risk estimate we provide. The fund holds a Beta of -0.16, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Ohio Variable are expected to decrease at a much lower rate. During the bear market, Ohio Variable is likely to outperform the market.
Auto-correlation | -0.53 |
Good reverse predictability
Ohio Variable College has good reverse predictability. Overlapping area represents the amount of predictability between Ohio Variable time series from 12th of December 2024 to 26th of January 2025 and 26th of January 2025 to 12th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Ohio Variable College price movement. The serial correlation of -0.53 indicates that about 53.0% of current Ohio Variable price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.53 | |
| Spearman Rank Test | -0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
Ohio Variable College lagged returns against current returns
Autocorrelation, which is Ohio Variable mutual fund'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 Ohio Variable's mutual fund expected returns. We can calculate the autocorrelation of Ohio Variable returns to help us make a trade decision. For example, suppose you find that Ohio Variable has exhibited high autocorrelation historically, and you observe that the mutual fund 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 |
Ohio Variable 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 Ohio Variable mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ohio Variable mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Ohio Variable mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Ohio Variable Lagged Returns
When evaluating Ohio Variable's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Ohio Variable mutual fund have on its future price. Ohio Variable 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, Ohio Variable autocorrelation shows the relationship between Ohio Variable mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Ohio Variable College.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Ohio Mutual Fund
Ohio Variable financial ratios help investors to determine whether Ohio Mutual Fund 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 Ohio with respect to the benefits of owning Ohio Variable security.
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