Ofs Credit Preferred Stock Market Value
| OCCIN Preferred Stock | USD 23.85 0.15 0.62% |
| Symbol | OFS |
OFS Credit '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 OFS Credit's preferred 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 OFS Credit.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in OFS Credit on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding OFS Credit or generate 0.0% return on investment in OFS Credit over 30 days. OFS Credit is related to or competes with Oxford Lane, XOMA, HUMANA, Barloworld, Morningstar Unconstrained, High-yield Municipal, and Thrivent High. Ofs Credit operates under Asset Management classification in the United States and is traded on NASDAQ Exchange. More
OFS Credit 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 OFS Credit's preferred 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 OFS Credit upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.3098 | |||
| Information Ratio | (0.24) | |||
| Maximum Drawdown | 1.4 | |||
| Value At Risk | (0.47) | |||
| Potential Upside | 0.5523 |
OFS Credit Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for OFS Credit's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as OFS Credit's standard deviation. In reality, there are many statistical measures that can use OFS Credit historical prices to predict the future OFS Credit's volatility.| Risk Adjusted Performance | 0.1496 | |||
| Jensen Alpha | 0.0625 | |||
| Total Risk Alpha | 0.007 | |||
| Sortino Ratio | (0.22) | |||
| Treynor Ratio | (0.60) |
OFS Credit Backtested Returns
As of now, OFS Preferred Stock is very steady. OFS Credit maintains Sharpe Ratio (i.e., Efficiency) of 0.25, which implies the firm had a 0.25% return per unit of standard deviation over the last 3 months. We have found twenty-seven technical indicators for OFS Credit, which you can use to evaluate the volatility of the company. Please check OFS Credit's Risk Adjusted Performance of 0.1496, market risk adjusted performance of (0.59), and Downside Deviation of 0.3098 to confirm if the risk estimate we provide is consistent with the expected return of 0.0705%. OFS Credit has a performance score of 19 on a scale of 0 to 100. The company holds a Beta of -0.0868, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning OFS Credit are expected to decrease at a much lower rate. During the bear market, OFS Credit is likely to outperform the market. OFS Credit currently holds a risk of 0.29%. Please check OFS Credit skewness, and the relationship between the potential upside and day median price , to decide if OFS Credit will be following its historical price patterns.
Auto-correlation | 0.17 |
Very weak predictability
OFS Credit has very weak predictability. Overlapping area represents the amount of predictability between OFS Credit time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th 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 OFS Credit price movement. The serial correlation of 0.17 indicates that over 17.0% of current OFS Credit price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.17 | |
| Spearman Rank Test | 0.31 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
OFS Credit lagged returns against current returns
Autocorrelation, which is OFS Credit preferred 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 OFS Credit's preferred stock expected returns. We can calculate the autocorrelation of OFS Credit returns to help us make a trade decision. For example, suppose you find that OFS Credit has exhibited high autocorrelation historically, and you observe that the preferred 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 |
OFS Credit 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 OFS Credit preferred stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if OFS Credit preferred stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in OFS Credit preferred stock over time.
Current vs Lagged Prices |
| Timeline |
OFS Credit Lagged Returns
When evaluating OFS Credit's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of OFS Credit preferred stock have on its future price. OFS Credit 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, OFS Credit autocorrelation shows the relationship between OFS Credit preferred stock current value and its past values and can show if there is a momentum factor associated with investing in OFS Credit.
Regressed Prices |
| Timeline |
Pair Trading with OFS Credit
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 OFS Credit 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 OFS Credit will appreciate offsetting losses from the drop in the long position's value.Moving together with OFS Preferred Stock
| 0.79 | AB | AllianceBernstein | PairCorr |
| 0.86 | AC | Associated Capital | PairCorr |
| 0.93 | BK | Bank of New York Fiscal Year End 10th of January 2025 | PairCorr |
| 0.89 | BN | Brookfield Corp | PairCorr |
Moving against OFS Preferred Stock
The ability to find closely correlated positions to OFS Credit could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace OFS Credit 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 OFS Credit - 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 OFS Credit to buy it.
The correlation of OFS Credit 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 OFS Credit moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if OFS Credit 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 OFS Credit 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 OFS Preferred Stock
OFS Credit financial ratios help investors to determine whether OFS Preferred 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 OFS with respect to the benefits of owning OFS Credit security.