Large Pany Value Fund Market Value
| WLCVX Fund | USD 20.75 0.11 0.53% |
| Symbol | Large |
Large Company '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 Large Company'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 Large Company.
| 10/20/2023 |
| 04/17/2024 |
If you would invest 0.00 in Large Company on October 20, 2023 and sell it all today you would earn a total of 0.00 from holding Large Pany Value or generate 0.0% return on investment in Large Company over 180 days. Large Company is related to or competes with Small Pany, Small Pany, Wilshire 5000, Wilshire Income, Wilshire Income, Wilshire 5000, and Large Company. The fund invests under normal circumstances, at least 80 percent of its net assets in the common stock of companies with... More
Large Company 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 Large Company'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 Large Pany Value upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7959 | |||
| Information Ratio | 0.0318 | |||
| Maximum Drawdown | 3.31 | |||
| Value At Risk | (1.34) | |||
| Potential Upside | 1.08 |
Large Company Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Large Company's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Large Company's standard deviation. In reality, there are many statistical measures that can use Large Company historical prices to predict the future Large Company's volatility.| Risk Adjusted Performance | 0.0753 | |||
| Jensen Alpha | 0.0228 | |||
| Total Risk Alpha | 0.0183 | |||
| Sortino Ratio | 0.0268 | |||
| Treynor Ratio | 0.0715 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Large Company'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.
Large Pany Value Backtested Returns
We consider Large Company very steady. Large Pany Value has Sharpe Ratio of 0.15, which conveys that the entity had a 0.15% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Large Company, which you can use to evaluate the volatility of the fund. Please verify Large Company's Downside Deviation of 0.7959, risk adjusted performance of 0.0753, and Mean Deviation of 0.4999 to check out if the risk estimate we provide is consistent with the expected return of 0.0993%. The fund secures a Beta (Market Risk) of 0.97, which conveys possible diversification benefits within a given portfolio. Large Company returns are very sensitive to returns on the market. As the market goes up or down, Large Company is expected to follow.
Auto-correlation | 0.94 |
Excellent predictability
Large Pany Value has excellent predictability. Overlapping area represents the amount of predictability between Large Company time series from 20th of October 2023 to 18th of January 2024 and 18th of January 2024 to 17th 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 Large Pany Value price movement. The serial correlation of 0.94 indicates that approximately 94.0% of current Large Company price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.94 | |
| Spearman Rank Test | 0.86 | |
| Residual Average | 0.0 | |
| Price Variance | 0.43 |
Large Pany Value lagged returns against current returns
Autocorrelation, which is Large Company 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 Large Company's mutual fund expected returns. We can calculate the autocorrelation of Large Company returns to help us make a trade decision. For example, suppose you find that Large Company 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 |
Large Company 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 Large Company mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Large Company mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Large Company mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Large Company Lagged Returns
When evaluating Large Company's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Large Company mutual fund have on its future price. Large Company 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, Large Company autocorrelation shows the relationship between Large Company mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Large Pany 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 Large Company 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, Large Company's short interest history, or implied volatility extrapolated from Large Company options trading.
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Check out Large Company Correlation, Large Company Volatility and Large Company Alpha and Beta module to complement your research on Large Company. You can also try the Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
Large Company 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.