Sanjac Alpha Core Etf Market Value
| SJCP Etf | 24.98 0.02 0.08% |
| Symbol | SanJac |
The market value of SanJac Alpha Core is measured differently than its book value, which is the value of SanJac that is recorded on the company's balance sheet. Investors also form their own opinion of SanJac Alpha's value that differs from its market value or its book value, called intrinsic value, which is SanJac Alpha'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 SanJac Alpha's market value can be influenced by many factors that don't directly affect SanJac Alpha'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 SanJac Alpha's value and its price as these two are different measures arrived at by different means. Investors typically determine if SanJac Alpha is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SanJac Alpha'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.
SanJac Alpha '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 SanJac Alpha'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 SanJac Alpha.
| 04/21/2025 |
| 07/20/2025 |
If you would invest 0.00 in SanJac Alpha on April 21, 2025 and sell it all today you would earn a total of 0.00 from holding SanJac Alpha Core or generate 0.0% return on investment in SanJac Alpha over 90 days. SanJac Alpha is related to or competes with Valued Advisers, Columbia Diversified, Principal Exchange, Doubleline Etf, Virtus Newfleet, Vident Core, and PIMCO Enhanced. SanJac Alpha is entity of United States. It is traded as Etf on NASDAQ exchange. More
SanJac Alpha 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 SanJac Alpha'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 SanJac Alpha Core upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1122 | |||
| Information Ratio | (0.83) | |||
| Maximum Drawdown | 0.5643 | |||
| Value At Risk | (0.12) | |||
| Potential Upside | 0.2435 |
SanJac Alpha Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SanJac Alpha's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SanJac Alpha's standard deviation. In reality, there are many statistical measures that can use SanJac Alpha historical prices to predict the future SanJac Alpha's volatility.| Risk Adjusted Performance | 0.2297 | |||
| Jensen Alpha | 0.0259 | |||
| Total Risk Alpha | 0.0116 | |||
| Sortino Ratio | (0.91) | |||
| Treynor Ratio | 1.31 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SanJac Alpha'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.
SanJac Alpha Core Backtested Returns
Currently, SanJac Alpha Core is very steady. SanJac Alpha Core owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.29, which indicates the etf had a 0.29 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for SanJac Alpha Core, which you can use to evaluate the volatility of the etf. Please validate SanJac Alpha's Downside Deviation of 0.1122, risk adjusted performance of 0.2297, and Standard Deviation of 0.1224 to confirm if the risk estimate we provide is consistent with the expected return of 0.0354%. The entity has a beta of 0.0219, which indicates not very significant fluctuations relative to the market. As returns on the market increase, SanJac Alpha's returns are expected to increase less than the market. However, during the bear market, the loss of holding SanJac Alpha is expected to be smaller as well.
Auto-correlation | 0.64 |
Good predictability
SanJac Alpha Core has good predictability. Overlapping area represents the amount of predictability between SanJac Alpha time series from 21st of April 2025 to 5th of June 2025 and 5th of June 2025 to 20th of July 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 SanJac Alpha Core price movement. The serial correlation of 0.64 indicates that roughly 64.0% of current SanJac Alpha price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.64 | |
| Spearman Rank Test | 0.57 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
SanJac Alpha Core lagged returns against current returns
Autocorrelation, which is SanJac Alpha 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 SanJac Alpha's etf expected returns. We can calculate the autocorrelation of SanJac Alpha returns to help us make a trade decision. For example, suppose you find that SanJac Alpha 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 |
SanJac Alpha 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 SanJac Alpha etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SanJac Alpha etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SanJac Alpha etf over time.
Current vs Lagged Prices |
| Timeline |
SanJac Alpha Lagged Returns
When evaluating SanJac Alpha's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SanJac Alpha etf have on its future price. SanJac Alpha 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, SanJac Alpha autocorrelation shows the relationship between SanJac Alpha etf current value and its past values and can show if there is a momentum factor associated with investing in SanJac Alpha Core.
Regressed Prices |
| Timeline |
Pair Trading with SanJac Alpha
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 SanJac Alpha 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 SanJac Alpha will appreciate offsetting losses from the drop in the long position's value.Moving together with SanJac Etf
| 0.82 | IUSB | iShares Core Total | PairCorr |
| 0.77 | FIXD | First Trust TCW | PairCorr |
| 0.87 | FBND | Fidelity Total Bond | PairCorr |
| 0.75 | TOTL | SPDR DoubleLine Total | PairCorr |
| 0.81 | HTRB | Hartford Total Return | PairCorr |
Moving against SanJac Etf
| 0.57 | FNGU | MicroSectors FANG Index Symbol Change | PairCorr |
The ability to find closely correlated positions to SanJac Alpha could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace SanJac Alpha 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 SanJac Alpha - 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 SanJac Alpha Core to buy it.
The correlation of SanJac Alpha 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 SanJac Alpha moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if SanJac Alpha Core 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 SanJac Alpha 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 SanJac Alpha Correlation, SanJac Alpha Volatility and SanJac Alpha Alpha and Beta module to complement your research on SanJac Alpha. You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
SanJac Alpha technical etf 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, etf market cycles, or different charting patterns.