Small Pany Fund Market Value
ASQIX Fund | USD 15.92 0.29 1.79% |
Symbol | Small |
Small Pany '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 Small Pany'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 Small Pany.
02/27/2024 |
| 03/28/2024 |
If you would invest 0.00 in Small Pany on February 27, 2024 and sell it all today you would earn a total of 0.00 from holding Small Pany Fund or generate 0.0% return on investment in Small Pany over 30 days. Small Pany is related to or competes with T Rowe, Home Depot, Morningstar Unconstrained, Via Renewables, and Jpmorgan Equity. Under normal market conditions, the fund will invest at least 80 percent of its net assets in stocks of smaller-capitali... More
Small Pany 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 Small Pany'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 Small Pany Fund upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.11 | |||
Information Ratio | (0.06) | |||
Maximum Drawdown | 5.09 | |||
Value At Risk | (1.59) | |||
Potential Upside | 1.79 |
Small Pany Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Small Pany's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Small Pany's standard deviation. In reality, there are many statistical measures that can use Small Pany historical prices to predict the future Small Pany's volatility.Risk Adjusted Performance | 0.0427 | |||
Jensen Alpha | 0.091 | |||
Total Risk Alpha | (0.18) | |||
Sortino Ratio | (0.05) | |||
Treynor Ratio | (0.29) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Small Pany'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.
Small Pany Fund Backtested Returns
We consider Small Pany very steady. Small Pany Fund owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0473, which indicates the fund had a 0.0473% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Small Pany Fund, which you can use to evaluate the volatility of the fund. Please validate Small Pany's Risk Adjusted Performance of 0.0427, coefficient of variation of 1470.46, and Semi Deviation of 1.04 to confirm if the risk estimate we provide is consistent with the expected return of 0.0519%. The entity has a beta of -0.22, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Small Pany are expected to decrease at a much lower rate. During the bear market, Small Pany is likely to outperform the market.
Auto-correlation | -0.22 |
Weak reverse predictability
Small Pany Fund has weak reverse predictability. Overlapping area represents the amount of predictability between Small Pany time series from 27th of February 2024 to 13th of March 2024 and 13th of March 2024 to 28th of March 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 Small Pany Fund price movement. The serial correlation of -0.22 indicates that over 22.0% of current Small Pany price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.22 | |
Spearman Rank Test | -0.35 | |
Residual Average | 0.0 | |
Price Variance | 0.05 |
Small Pany Fund lagged returns against current returns
Autocorrelation, which is Small Pany 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 Small Pany's mutual fund expected returns. We can calculate the autocorrelation of Small Pany returns to help us make a trade decision. For example, suppose you find that Small Pany 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 |
Small Pany 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 Small Pany mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Small Pany mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Small Pany mutual fund over time.
Current vs Lagged Prices |
Timeline |
Small Pany Lagged Returns
When evaluating Small Pany's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Small Pany mutual fund have on its future price. Small Pany 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, Small Pany autocorrelation shows the relationship between Small Pany mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Small Pany Fund.
Regressed Prices |
Timeline |
Pair Trading with Small Pany
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 Small Pany 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 Small Pany will appreciate offsetting losses from the drop in the long position's value.Moving together with Small Mutual Fund
0.68 | AMDVX | Mid Cap Value | PairCorr |
0.71 | AMEIX | Equity Growth Fund | PairCorr |
0.76 | AMGIX | Income Growth Fund | PairCorr |
The ability to find closely correlated positions to Small Pany could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Small Pany 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 Small Pany - 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 Small Pany Fund to buy it.
The correlation of Small Pany 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 Small Pany moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Small Pany Fund 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 Small Pany 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 Small Pany Correlation, Small Pany Volatility and Small Pany Alpha and Beta module to complement your research on Small Pany. You can also try the Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
Complementary Tools for Small Mutual Fund analysis
When running Small Pany's price analysis, check to measure Small Pany's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Small Pany is operating at the current time. Most of Small Pany's value examination focuses on studying past and present price action to predict the probability of Small Pany's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Small Pany's price. Additionally, you may evaluate how the addition of Small Pany to your portfolios can decrease your overall portfolio volatility.
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Small Pany technical mutual fund 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, fund market cycles, or different charting patterns.