Oxford Lane Capital Stock Market Value
| OXLCN Stock | USD 24.02 0.07 0.29% |
| Symbol | Oxford |
Oxford Lane Capital Price To Book Ratio
Is Asset Management & Custody Banks space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Oxford Lane. If investors know Oxford will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Oxford Lane listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.65) | Dividend Share 0.99 | Earnings Share 0.871 | Revenue Per Share 1.058 | Quarterly Revenue Growth 0.345 |
The market value of Oxford Lane Capital is measured differently than its book value, which is the value of Oxford that is recorded on the company's balance sheet. Investors also form their own opinion of Oxford Lane's value that differs from its market value or its book value, called intrinsic value, which is Oxford Lane'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 Oxford Lane's market value can be influenced by many factors that don't directly affect Oxford Lane'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 Oxford Lane's value and its price as these two are different measures arrived at by different means. Investors typically determine if Oxford Lane is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Oxford Lane'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.
Oxford Lane '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 Oxford Lane'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 Oxford Lane.
| 11/23/2024 |
| 12/23/2024 |
If you would invest 0.00 in Oxford Lane on November 23, 2024 and sell it all today you would earn a total of 0.00 from holding Oxford Lane Capital or generate 0.0% return on investment in Oxford Lane over 30 days. Oxford Lane is related to or competes with Oxford Lane, Oxford Lane, CHS, and Fifth Third. Oxford Lane Capital Corp. is a close ended fund launched and managed by Oxford Lane Management LLC More
Oxford Lane 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 Oxford Lane'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 Oxford Lane Capital upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7248 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 3.5 | |||
| Value At Risk | (1.00) | |||
| Potential Upside | 0.8368 |
Oxford Lane Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Oxford Lane's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Oxford Lane's standard deviation. In reality, there are many statistical measures that can use Oxford Lane historical prices to predict the future Oxford Lane's volatility.| Risk Adjusted Performance | 0.0021 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | (0.04) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Oxford Lane'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.
Oxford Lane Capital Backtested Returns
As of now, Oxford Stock is very steady. Oxford Lane Capital maintains Sharpe Ratio (i.e., Efficiency) of 0.0162, which implies the firm had a 0.0162% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Oxford Lane Capital, which you can use to evaluate the volatility of the company. Please check Oxford Lane's Semi Deviation of 0.6476, risk adjusted performance of 0.0021, and Coefficient Of Variation of 13857.42 to confirm if the risk estimate we provide is consistent with the expected return of 0.0095%. Oxford Lane has a performance score of 1 on a scale of 0 to 100. The company holds a Beta of 0.16, which implies not very significant fluctuations relative to the market. As returns on the market increase, Oxford Lane's returns are expected to increase less than the market. However, during the bear market, the loss of holding Oxford Lane is expected to be smaller as well. Oxford Lane Capital right now holds a risk of 0.59%. Please check Oxford Lane Capital potential upside, and the relationship between the total risk alpha and kurtosis , to decide if Oxford Lane Capital will be following its historical price patterns.
Auto-correlation | 0.02 |
Virtually no predictability
Oxford Lane Capital has virtually no predictability. Overlapping area represents the amount of predictability between Oxford Lane time series from 23rd of November 2024 to 8th of December 2024 and 8th of December 2024 to 23rd 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 Oxford Lane Capital price movement. The serial correlation of 0.02 indicates that only 2.0% of current Oxford Lane price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.02 | |
| Spearman Rank Test | 0.16 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Oxford Lane Capital lagged returns against current returns
Autocorrelation, which is Oxford Lane 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 Oxford Lane's stock expected returns. We can calculate the autocorrelation of Oxford Lane returns to help us make a trade decision. For example, suppose you find that Oxford Lane 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 |
Oxford Lane 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 Oxford Lane stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Oxford Lane stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Oxford Lane stock over time.
Current vs Lagged Prices |
| Timeline |
Oxford Lane Lagged Returns
When evaluating Oxford Lane's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Oxford Lane stock have on its future price. Oxford Lane 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, Oxford Lane autocorrelation shows the relationship between Oxford Lane stock current value and its past values and can show if there is a momentum factor associated with investing in Oxford Lane Capital.
Regressed Prices |
| Timeline |
Pair Trading with Oxford Lane
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 Oxford Lane 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 Oxford Lane will appreciate offsetting losses from the drop in the long position's value.Moving against Oxford Stock
The ability to find closely correlated positions to Oxford Lane could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Oxford Lane 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 Oxford Lane - 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 Oxford Lane Capital to buy it.
The correlation of Oxford Lane 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 Oxford Lane moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Oxford Lane Capital 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 Oxford Lane 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.Check out Oxford Lane Correlation, Oxford Lane Volatility and Oxford Lane Alpha and Beta module to complement your research on Oxford Lane. You can also try the Portfolio Dashboard module to portfolio dashboard that provides centralized access to all your investments.
Oxford Lane technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.