Sanjac Alpha Low Etf Market Value
| SJLD Etf | 25.17 0.02 0.08% |
| Symbol | SanJac |
The market value of SanJac Alpha Low 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.
| 10/28/2024 |
| 11/27/2024 |
If you would invest 0.00 in SanJac Alpha on October 28, 2024 and sell it all today you would earn a total of 0.00 from holding SanJac Alpha Low or generate 0.0% return on investment in SanJac Alpha over 30 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 Low upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1344 | |||
| Information Ratio | (1.61) | |||
| Maximum Drawdown | 0.4387 | |||
| Value At Risk | (0.12) | |||
| Potential Upside | 0.1599 |
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 | 0.013 | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.89) | |||
| Treynor Ratio | 0.0074 |
SanJac Alpha Low Backtested Returns
At this point, SanJac Alpha is very steady. SanJac Alpha Low owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.14, which indicates the etf had a 0.14% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for SanJac Alpha Low, which you can use to evaluate the volatility of the etf. Please validate SanJac Alpha's Standard Deviation of 0.0745, risk adjusted performance of 0.013, and Downside Deviation of 0.1344 to confirm if the risk estimate we provide is consistent with the expected return of 0.0106%. The entity has a beta of 0.0399, 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 | 0.69 |
Good predictability
SanJac Alpha Low has good predictability. Overlapping area represents the amount of predictability between SanJac Alpha time series from 28th of October 2024 to 12th of November 2024 and 12th of November 2024 to 27th 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 SanJac Alpha Low price movement. The serial correlation of 0.69 indicates that around 69.0% of current SanJac Alpha price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.69 | |
| Spearman Rank Test | 0.87 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
SanJac Alpha Low 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 Low.
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.When determining whether SanJac Alpha Low is a strong investment it is important to analyze SanJac Alpha's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact SanJac Alpha's future performance. For an informed investment choice regarding SanJac Etf, refer to the following important reports: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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
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.