Kinea Fundo (Brazil) Market Value
| KFOF11 Fund | BRL 95.68 0.80 0.83% |
| Symbol | Kinea |
Kinea Fundo '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 Kinea Fundo'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 Kinea Fundo.
| 04/02/2024 |
| 05/02/2024 |
If you would invest 0.00 in Kinea Fundo on April 2, 2024 and sell it all today you would earn a total of 0.00 from holding Kinea Fundo Fundos or generate 0.0% return on investment in Kinea Fundo over 30 days. Kinea Fundo is related to or competes with Kinea Indices, Kinea Renda, Kinea Rendimentos, and . More
Kinea Fundo 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 Kinea Fundo'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 Kinea Fundo Fundos upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.16) | |||
| Maximum Drawdown | 5.44 | |||
| Value At Risk | (1.04) | |||
| Potential Upside | 0.9624 |
Kinea Fundo Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Kinea Fundo's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Kinea Fundo's standard deviation. In reality, there are many statistical measures that can use Kinea Fundo historical prices to predict the future Kinea Fundo's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | (0.14) | |||
| Treynor Ratio | (31.99) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Kinea Fundo'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.
Kinea Fundo Fundos Backtested Returns
Kinea Fundo Fundos has Sharpe Ratio of -0.13, which conveys that the entity had a -0.13% return per unit of risk over the last 3 months. Kinea Fundo exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Kinea Fundo's Standard Deviation of 0.7955, risk adjusted performance of (0.05), and Mean Deviation of 0.5616 to check out the risk estimate we provide. The fund secures a Beta (Market Risk) of 0.0024, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Kinea Fundo's returns are expected to increase less than the market. However, during the bear market, the loss of holding Kinea Fundo is expected to be smaller as well.
Auto-correlation | -0.94 |
Near perfect reversele predictability
Kinea Fundo Fundos has near perfect reversele predictability. Overlapping area represents the amount of predictability between Kinea Fundo time series from 2nd of April 2024 to 17th of April 2024 and 17th of April 2024 to 2nd of May 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 Kinea Fundo Fundos price movement. The serial correlation of -0.94 indicates that approximately 94.0% of current Kinea Fundo price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.94 | |
| Spearman Rank Test | -0.83 | |
| Residual Average | 0.0 | |
| Price Variance | 4.8 |
Kinea Fundo Fundos lagged returns against current returns
Autocorrelation, which is Kinea Fundo 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 Kinea Fundo's fund expected returns. We can calculate the autocorrelation of Kinea Fundo returns to help us make a trade decision. For example, suppose you find that Kinea Fundo 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 |
Kinea Fundo 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 Kinea Fundo fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Kinea Fundo fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Kinea Fundo fund over time.
Current vs Lagged Prices |
| Timeline |
Kinea Fundo Lagged Returns
When evaluating Kinea Fundo's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Kinea Fundo fund have on its future price. Kinea Fundo 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, Kinea Fundo autocorrelation shows the relationship between Kinea Fundo fund current value and its past values and can show if there is a momentum factor associated with investing in Kinea Fundo Fundos.
Regressed Prices |
| Timeline |
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Kinea Fundo technical 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.