HEDGE PALADIN (Brazil) Market Value
| HDOF11 Fund | 99.00 0.00 0.00% |
| Symbol | HEDGE |
HEDGE PALADIN '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 HEDGE PALADIN's 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 HEDGE PALADIN.
| 12/20/2023 |
| 12/14/2024 |
If you would invest 0.00 in HEDGE PALADIN on December 20, 2023 and sell it all today you would earn a total of 0.00 from holding HEDGE PALADIN DESIGN or generate 0.0% return on investment in HEDGE PALADIN over 360 days.
HEDGE PALADIN 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 HEDGE PALADIN's 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 HEDGE PALADIN DESIGN upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.18) | |||
| Maximum Drawdown | 4.21 |
HEDGE PALADIN Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for HEDGE PALADIN's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as HEDGE PALADIN's standard deviation. In reality, there are many statistical measures that can use HEDGE PALADIN historical prices to predict the future HEDGE PALADIN's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.10) | |||
| Treynor Ratio | 3.32 |
HEDGE PALADIN DESIGN Backtested Returns
HEDGE PALADIN DESIGN holds Efficiency (Sharpe) Ratio of -0.021, which attests that the entity had a -0.021% return per unit of return volatility over the last 3 months. HEDGE PALADIN DESIGN exposes sixteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out HEDGE PALADIN's Coefficient Of Variation of (4,875), risk adjusted performance of (0.02), and Market Risk Adjusted Performance of 3.33 to validate the risk estimate we provide. The fund retains a Market Volatility (i.e., Beta) of -0.007, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning HEDGE PALADIN are expected to decrease at a much lower rate. During the bear market, HEDGE PALADIN is likely to outperform the market.
Auto-correlation | Huge |
Perfect predictability
HEDGE PALADIN DESIGN has perfect predictability. Overlapping area represents the amount of predictability between HEDGE PALADIN time series from 20th of December 2023 to 17th of June 2024 and 17th of June 2024 to 14th of December 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 HEDGE PALADIN DESIGN price movement. The serial correlation of 9.223372036854776E16 indicates that 9.223372036854776E16% of current HEDGE PALADIN price fluctuation can be explain by its past prices.
| Correlation Coefficient | 92233.7 T | |
| Spearman Rank Test | -0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 63.39 |
HEDGE PALADIN DESIGN lagged returns against current returns
Autocorrelation, which is HEDGE PALADIN 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 HEDGE PALADIN's fund expected returns. We can calculate the autocorrelation of HEDGE PALADIN returns to help us make a trade decision. For example, suppose you find that HEDGE PALADIN has exhibited high autocorrelation historically, and you observe that the 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 |
HEDGE PALADIN 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 HEDGE PALADIN fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if HEDGE PALADIN fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in HEDGE PALADIN fund over time.
Current vs Lagged Prices |
| Timeline |
HEDGE PALADIN Lagged Returns
When evaluating HEDGE PALADIN's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of HEDGE PALADIN fund have on its future price. HEDGE PALADIN 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, HEDGE PALADIN autocorrelation shows the relationship between HEDGE PALADIN fund current value and its past values and can show if there is a momentum factor associated with investing in HEDGE PALADIN DESIGN.
Regressed Prices |
| Timeline |
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