Lebenthal Lisanti Small Fund Market Value
ASCGX Fund | USD 18.76 0.20 1.08% |
Symbol | Lebenthal |
Lebenthal Lisanti '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 Lebenthal Lisanti'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 Lebenthal Lisanti.
04/09/2022 |
| 03/29/2024 |
If you would invest 0.00 in Lebenthal Lisanti on April 9, 2022 and sell it all today you would earn a total of 0.00 from holding Lebenthal Lisanti Small or generate 0.0% return on investment in Lebenthal Lisanti over 720 days. Lebenthal Lisanti is related to or competes with Vanguard Small-cap, Vanguard Small-cap, Vanguard Small, Vanguard Explorer, Vanguard Explorer, Janus Triton, and Janus Triton. The fund normally invests at least 80 percent of its net assets in the equity securities of smaller, lesser-known compan... More
Lebenthal Lisanti 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 Lebenthal Lisanti'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 Lebenthal Lisanti Small upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.3 | |||
Information Ratio | 0.0529 | |||
Maximum Drawdown | 5.9 | |||
Value At Risk | (2.10) | |||
Potential Upside | 2.37 |
Lebenthal Lisanti Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Lebenthal Lisanti's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Lebenthal Lisanti's standard deviation. In reality, there are many statistical measures that can use Lebenthal Lisanti historical prices to predict the future Lebenthal Lisanti's volatility.Risk Adjusted Performance | 0.0916 | |||
Jensen Alpha | 0.2201 | |||
Total Risk Alpha | (0.10) | |||
Sortino Ratio | 0.054 | |||
Treynor Ratio | (0.98) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Lebenthal Lisanti'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.
Lebenthal Lisanti Small Backtested Returns
Lebenthal Lisanti appears to be very steady, given 3 months investment horizon. Lebenthal Lisanti Small has Sharpe Ratio of 0.19, which conveys that the entity had a 0.19% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Lebenthal Lisanti, which you can use to evaluate the volatility of the fund. Please exercise Lebenthal Lisanti's Mean Deviation of 1.03, downside deviation of 1.3, and Risk Adjusted Performance of 0.0916 to check out if our risk estimates are consistent with your expectations. The fund secures a Beta (Market Risk) of -0.2, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Lebenthal Lisanti are expected to decrease at a much lower rate. During the bear market, Lebenthal Lisanti is likely to outperform the market.
Auto-correlation | -0.02 |
Very weak reverse predictability
Lebenthal Lisanti Small has very weak reverse predictability. Overlapping area represents the amount of predictability between Lebenthal Lisanti time series from 9th of April 2022 to 4th of April 2023 and 4th of April 2023 to 29th 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 Lebenthal Lisanti Small price movement. The serial correlation of -0.02 indicates that only 2.0% of current Lebenthal Lisanti price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.02 | |
Spearman Rank Test | -0.29 | |
Residual Average | 0.0 | |
Price Variance | 1.17 |
Lebenthal Lisanti Small lagged returns against current returns
Autocorrelation, which is Lebenthal Lisanti 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 Lebenthal Lisanti's mutual fund expected returns. We can calculate the autocorrelation of Lebenthal Lisanti returns to help us make a trade decision. For example, suppose you find that Lebenthal Lisanti 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 |
Lebenthal Lisanti 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 Lebenthal Lisanti mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Lebenthal Lisanti mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Lebenthal Lisanti mutual fund over time.
Current vs Lagged Prices |
Timeline |
Lebenthal Lisanti Lagged Returns
When evaluating Lebenthal Lisanti's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Lebenthal Lisanti mutual fund have on its future price. Lebenthal Lisanti 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, Lebenthal Lisanti autocorrelation shows the relationship between Lebenthal Lisanti mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Lebenthal Lisanti Small.
Regressed Prices |
Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Lebenthal Lisanti in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Lebenthal Lisanti's short interest history, or implied volatility extrapolated from Lebenthal Lisanti options trading.
Pair Trading with Lebenthal Lisanti
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 Lebenthal Lisanti 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 Lebenthal Lisanti will appreciate offsetting losses from the drop in the long position's value.Moving together with Lebenthal Mutual Fund
0.93 | VSGAX | Vanguard Small-cap Growth | PairCorr |
0.93 | VSGIX | Vanguard Small-cap Growth | PairCorr |
0.93 | VISGX | Vanguard Small-cap Growth | PairCorr |
The ability to find closely correlated positions to Lebenthal Lisanti could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Lebenthal Lisanti 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 Lebenthal Lisanti - 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 Lebenthal Lisanti Small to buy it.
The correlation of Lebenthal Lisanti 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 Lebenthal Lisanti moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Lebenthal Lisanti Small 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 Lebenthal Lisanti 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 Lebenthal Lisanti Correlation, Lebenthal Lisanti Volatility and Lebenthal Lisanti Alpha and Beta module to complement your research on Lebenthal Lisanti. Note that the Lebenthal Lisanti Small information on this page should be used as a complementary analysis to other Lebenthal Lisanti's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
Complementary Tools for Lebenthal Mutual Fund analysis
When running Lebenthal Lisanti's price analysis, check to measure Lebenthal Lisanti'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 Lebenthal Lisanti is operating at the current time. Most of Lebenthal Lisanti's value examination focuses on studying past and present price action to predict the probability of Lebenthal Lisanti's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Lebenthal Lisanti's price. Additionally, you may evaluate how the addition of Lebenthal Lisanti to your portfolios can decrease your overall portfolio volatility.
Share Portfolio Track or share privately all of your investments from the convenience of any device | |
Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
Crypto Correlations Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins | |
AI Investment Finder Use AI to screen and filter profitable investment opportunities | |
Odds Of Bankruptcy Get analysis of equity chance of financial distress in the next 2 years | |
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
Sync Your Broker Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors. | |
Idea Optimizer Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio |
Lebenthal Lisanti 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.