Consumer Goods Ultrasector Fund Market Value
| CNPIX Fund | USD 81.17 0.55 0.68% |
| Symbol | Consumer |
Consumer Goods '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 Consumer Goods' 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 Consumer Goods.
| 11/06/2023 |
| 11/30/2024 |
If you would invest 0.00 in Consumer Goods on November 6, 2023 and sell it all today you would earn a total of 0.00 from holding Consumer Goods Ultrasector or generate 0.0% return on investment in Consumer Goods over 390 days. Consumer Goods is related to or competes with Consumer Services, Industrials Ultrasector, Financials Ultrasector, Health Care, and Pharmaceuticals Ultrasector. The fund invests in financial instruments that the fund advisors believes, in combination, should produce daily returns ... More
Consumer Goods 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 Consumer Goods' 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 Consumer Goods Ultrasector upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9741 | |||
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 3.47 | |||
| Value At Risk | (1.48) | |||
| Potential Upside | 1.17 |
Consumer Goods Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Consumer Goods' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Consumer Goods' standard deviation. In reality, there are many statistical measures that can use Consumer Goods historical prices to predict the future Consumer Goods' volatility.| Risk Adjusted Performance | 0.0185 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.14) | |||
| Sortino Ratio | (0.12) | |||
| Treynor Ratio | 0.0592 |
Consumer Goods Ultra Backtested Returns
Consumer Goods Ultra secures Sharpe Ratio (or Efficiency) of -3.0E-4, which signifies that the fund had a -3.0E-4% return per unit of risk over the last 3 months. Consumer Goods Ultrasector exposes twenty-eight different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Consumer Goods' Mean Deviation of 0.7301, risk adjusted performance of 0.0185, and Downside Deviation of 0.9741 to double-check the risk estimate we provide. The fund shows a Beta (market volatility) of 0.17, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Consumer Goods' returns are expected to increase less than the market. However, during the bear market, the loss of holding Consumer Goods is expected to be smaller as well.
Auto-correlation | 0.75 |
Good predictability
Consumer Goods Ultrasector has good predictability. Overlapping area represents the amount of predictability between Consumer Goods time series from 6th of November 2023 to 19th of May 2024 and 19th of May 2024 to 30th of November 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 Consumer Goods Ultra price movement. The serial correlation of 0.75 indicates that around 75.0% of current Consumer Goods price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.75 | |
| Spearman Rank Test | 0.73 | |
| Residual Average | 0.0 | |
| Price Variance | 10.09 |
Consumer Goods Ultra lagged returns against current returns
Autocorrelation, which is Consumer Goods 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 Consumer Goods' mutual fund expected returns. We can calculate the autocorrelation of Consumer Goods returns to help us make a trade decision. For example, suppose you find that Consumer Goods 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 |
Consumer Goods 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 Consumer Goods mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Consumer Goods mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Consumer Goods mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Consumer Goods Lagged Returns
When evaluating Consumer Goods' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Consumer Goods mutual fund have on its future price. Consumer Goods 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, Consumer Goods autocorrelation shows the relationship between Consumer Goods mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Consumer Goods Ultrasector.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Consumer Mutual Fund
Consumer Goods financial ratios help investors to determine whether Consumer Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Consumer with respect to the benefits of owning Consumer Goods security.
| Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
| Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Technical Analysis Check basic technical indicators and analysis based on most latest market data | |
| Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated |