Hotchkis Wiley Small Fund Market Value
Hotchkis Wiley's market value is the price at which a share of Hotchkis Wiley trades on a public exchange. It measures the collective expectations of Hotchkis Wiley Small investors about its performance. With this module, you can estimate the performance of a buy and hold strategy of Hotchkis Wiley Small and determine expected loss or profit from investing in Hotchkis Wiley over a given investment horizon. Check out Risk vs Return Analysis 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 gross domestic product.
Symbol | Hotchkis |
Hotchkis Wiley '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 Hotchkis Wiley'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 Hotchkis Wiley.
04/09/2022 |
| 03/29/2024 |
If you would invest 0.00 in Hotchkis Wiley on April 9, 2022 and sell it all today you would earn a total of 0.00 from holding Hotchkis Wiley Small or generate 0.0% return on investment in Hotchkis Wiley over 720 days. Hotchkis Wiley is related to or competes with Franklin High, Ab Bond, Ambrus Core, Morningstar Defensive, and T Rowe. The fund normally invests at least 80 percent of its net assets plus borrowings for investment purposes in equity securi... More
Hotchkis Wiley 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 Hotchkis Wiley'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 Hotchkis Wiley Small upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.33 | |||
Information Ratio | (0.1) | |||
Maximum Drawdown | 7.29 | |||
Value At Risk | (1.71) | |||
Potential Upside | 2.17 |
Hotchkis Wiley Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hotchkis Wiley's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hotchkis Wiley's standard deviation. In reality, there are many statistical measures that can use Hotchkis Wiley historical prices to predict the future Hotchkis Wiley's volatility.Risk Adjusted Performance | 0.0113 | |||
Jensen Alpha | (0.20) | |||
Total Risk Alpha | (0.28) | |||
Sortino Ratio | (0.09) | |||
Treynor Ratio | 0.0018 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Hotchkis Wiley'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.
Hotchkis Wiley Small Backtested Returns
We consider Hotchkis Wiley very steady. Hotchkis Wiley Small holds Efficiency (Sharpe) Ratio of 0.0103, which attests that the entity had a 0.0103% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Hotchkis Wiley Small, which you can use to evaluate the volatility of the entity. Please check out Hotchkis Wiley's Market Risk Adjusted Performance of 0.0118, risk adjusted performance of 0.0113, and Downside Deviation of 1.33 to validate if the risk estimate we provide is consistent with the expected return of 0.0129%. The fund retains a Market Volatility (i.e., Beta) of 1.6, which attests to 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, Hotchkis Wiley will likely underperform.
Auto-correlation | 0.30 |
Below average predictability
Hotchkis Wiley Small has below average predictability. Overlapping area represents the amount of predictability between Hotchkis Wiley 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 Hotchkis Wiley Small price movement. The serial correlation of 0.3 indicates that nearly 30.0% of current Hotchkis Wiley price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.3 | |
Spearman Rank Test | 0.3 | |
Residual Average | 0.0 | |
Price Variance | 0.48 |
Hotchkis Wiley Small lagged returns against current returns
Autocorrelation, which is Hotchkis Wiley 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 Hotchkis Wiley's mutual fund expected returns. We can calculate the autocorrelation of Hotchkis Wiley returns to help us make a trade decision. For example, suppose you find that Hotchkis Wiley 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 |
Hotchkis Wiley 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 Hotchkis Wiley mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Hotchkis Wiley mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Hotchkis Wiley mutual fund over time.
Current vs Lagged Prices |
Timeline |
Hotchkis Wiley Lagged Returns
When evaluating Hotchkis Wiley's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Hotchkis Wiley mutual fund have on its future price. Hotchkis Wiley 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, Hotchkis Wiley autocorrelation shows the relationship between Hotchkis Wiley mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Hotchkis Wiley Small.
Regressed Prices |
Timeline |
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Try AI Portfolio ArchitectCheck out Hotchkis Wiley Correlation, Hotchkis Wiley Volatility and Hotchkis Wiley Alpha and Beta module to complement your research on Hotchkis Wiley. You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.
Complementary Tools for Hotchkis Mutual Fund analysis
When running Hotchkis Wiley's price analysis, check to measure Hotchkis Wiley'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 Hotchkis Wiley is operating at the current time. Most of Hotchkis Wiley's value examination focuses on studying past and present price action to predict the probability of Hotchkis Wiley's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Hotchkis Wiley's price. Additionally, you may evaluate how the addition of Hotchkis Wiley to your portfolios can decrease your overall portfolio volatility.
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Hotchkis Wiley 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.