Franklin Small Mid Cap Fund Market Value
Franklin Small's market value is the price at which a share of Franklin Small trades on a public exchange. It measures the collective expectations of Franklin Small Mid Cap investors about its performance. With this module, you can estimate the performance of a buy and hold strategy of Franklin Small Mid Cap and determine expected loss or profit from investing in Franklin Small over a given investment horizon. Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any mutual fund could be tightly coupled with the direction of predictive economic indicators such as signals in metropolitan statistical area.
| Symbol | Franklin |
Franklin Small '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 Franklin Small'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 Franklin Small.
| 06/28/2022 |
| 04/18/2024 |
If you would invest 0.00 in Franklin Small on June 28, 2022 and sell it all today you would earn a total of 0.00 from holding Franklin Small Mid Cap or generate 0.0% return on investment in Franklin Small over 660 days. Franklin Small is related to or competes with The Gabelli, Jhancock Diversified, Mercer Smallmid, Wasatch Small, Pgim Jennison, Oppenheimer International, and Blackrock. The fund invests at least 80 percent of its net assets in the equity securities of small-capitalization and mid-capitali... More
Franklin Small 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 Franklin Small'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 Franklin Small Mid Cap upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.05 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 3.92 | |||
| Value At Risk | (1.51) | |||
| Potential Upside | 1.56 |
Franklin Small Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Franklin Small's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Franklin Small's standard deviation. In reality, there are many statistical measures that can use Franklin Small historical prices to predict the future Franklin Small's volatility.| Risk Adjusted Performance | 0.027 | |||
| Jensen Alpha | 0.0222 | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.4318 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Franklin Small'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.
Franklin Small Mid Backtested Returns
We consider Franklin Small very steady. Franklin Small Mid secures Sharpe Ratio (or Efficiency) of 0.0379, which denotes the fund had a 0.0379% return per unit of standard deviation over the last 3 months. We have found twenty-four technical indicators for Franklin Small Mid Cap, which you can use to evaluate the volatility of the entity. Please confirm Franklin Small's Mean Deviation of 0.7325, semi deviation of 0.9483, and Downside Deviation of 1.05 to check if the risk estimate we provide is consistent with the expected return of 0.0348%. The fund shows a Beta (market volatility) of 0.0575, which means not very significant fluctuations relative to the market. As returns on the market increase, Franklin Small's returns are expected to increase less than the market. However, during the bear market, the loss of holding Franklin Small is expected to be smaller as well.
Auto-correlation | 0.49 |
Average predictability
Franklin Small Mid Cap has average predictability. Overlapping area represents the amount of predictability between Franklin Small time series from 28th of June 2022 to 24th of May 2023 and 24th of May 2023 to 18th of April 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 Franklin Small Mid price movement. The serial correlation of 0.49 indicates that about 49.0% of current Franklin Small price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.49 | |
| Spearman Rank Test | 0.16 | |
| Residual Average | 0.0 | |
| Price Variance | 4.65 |
Franklin Small Mid lagged returns against current returns
Autocorrelation, which is Franklin Small 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 Franklin Small's mutual fund expected returns. We can calculate the autocorrelation of Franklin Small returns to help us make a trade decision. For example, suppose you find that Franklin Small 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 |
Franklin Small 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 Franklin Small mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Franklin Small mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Franklin Small mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Franklin Small Lagged Returns
When evaluating Franklin Small's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Franklin Small mutual fund have on its future price. Franklin Small 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, Franklin Small autocorrelation shows the relationship between Franklin Small mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Franklin Small Mid Cap.
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 Franklin Small 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, Franklin Small's short interest history, or implied volatility extrapolated from Franklin Small options trading.
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Try AI Portfolio ArchitectCheck out Franklin Small Correlation, Franklin Small Volatility and Franklin Small Alpha and Beta module to complement your research on Franklin Small. You can also try the Fundamental Analysis module to view fundamental data based on most recent published financial statements.
Franklin Small 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.