Towle Deep Value Fund Market Value
| TDVFX Fund | USD 19.27 0.07 0.36% |
| Symbol | Towle |
Towle Deep '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 Towle Deep'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 Towle Deep.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Towle Deep on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding Towle Deep Value or generate 0.0% return on investment in Towle Deep over 30 days. Towle Deep is related to or competes with Financials Ultrasector, Prudential Jennison, Royce Global, Davis Financial, and Mesirow Financial. The fund seeks to achieve its investment objective by purchasing equity securities of companies that Towle Co., the fund... More
Towle Deep 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 Towle Deep'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 Towle Deep Value upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.51 | |||
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 5.14 | |||
| Value At Risk | (2.16) | |||
| Potential Upside | 1.66 |
Towle Deep Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Towle Deep's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Towle Deep's standard deviation. In reality, there are many statistical measures that can use Towle Deep historical prices to predict the future Towle Deep's volatility.| Risk Adjusted Performance | 0.0287 | |||
| Jensen Alpha | (0.1) | |||
| Total Risk Alpha | (0.13) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.0236 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Towle Deep'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.
Towle Deep Value Backtested Returns
Towle Deep Value owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.007, which indicates the fund had a -0.007% return per unit of risk over the last 3 months. Towle Deep Value exposes twenty-eight different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Towle Deep's Coefficient Of Variation of 2626.33, risk adjusted performance of 0.0287, and Semi Deviation of 1.44 to confirm the risk estimate we provide. The entity has a beta of 1.58, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Towle Deep will likely underperform.
Auto-correlation | -0.15 |
Insignificant reverse predictability
Towle Deep Value has insignificant reverse predictability. Overlapping area represents the amount of predictability between Towle Deep time series from 26th of March 2024 to 10th of April 2024 and 10th of April 2024 to 25th 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 Towle Deep Value price movement. The serial correlation of -0.15 indicates that less than 15.0% of current Towle Deep price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.15 | |
| Spearman Rank Test | 0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 0.07 |
Towle Deep Value lagged returns against current returns
Autocorrelation, which is Towle Deep 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 Towle Deep's mutual fund expected returns. We can calculate the autocorrelation of Towle Deep returns to help us make a trade decision. For example, suppose you find that Towle Deep 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 |
Towle Deep 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 Towle Deep mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Towle Deep mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Towle Deep mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Towle Deep Lagged Returns
When evaluating Towle Deep's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Towle Deep mutual fund have on its future price. Towle Deep 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, Towle Deep autocorrelation shows the relationship between Towle Deep mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Towle Deep Value.
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 Towle Deep 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, Towle Deep's short interest history, or implied volatility extrapolated from Towle Deep options trading.
Currently Active Assets on Macroaxis
Check out Towle Deep Correlation, Towle Deep Volatility and Towle Deep Alpha and Beta module to complement your research on Towle Deep. Note that the Towle Deep Value information on this page should be used as a complementary analysis to other Towle Deep'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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.
Towle Deep 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.