Kinetics Paradigm Fund Market Value
| KNPCX Fund | USD 72.32 0.25 0.35% |
| Symbol | Kinetics |
Kinetics Paradigm '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 Kinetics Paradigm'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 Kinetics Paradigm.
| 04/11/2024 |
| 05/11/2024 |
If you would invest 0.00 in Kinetics Paradigm on April 11, 2024 and sell it all today you would earn a total of 0.00 from holding Kinetics Paradigm Fund or generate 0.0% return on investment in Kinetics Paradigm over 30 days. Kinetics Paradigm is related to or competes with Europacific Growth, Wells Fargo, Mfs Emerging, Morningstar Unconstrained, High Yield, Thrivent High, and Via Renewables. The fund is a non-diversified fund that invests all of its investable assets in the Paradigm Portfolio, a series of Kine... More
Kinetics Paradigm 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 Kinetics Paradigm'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 Kinetics Paradigm Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.5 | |||
| Information Ratio | 0.1556 | |||
| Maximum Drawdown | 6.56 | |||
| Value At Risk | (2.10) | |||
| Potential Upside | 2.1 |
Kinetics Paradigm Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Kinetics Paradigm's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Kinetics Paradigm's standard deviation. In reality, there are many statistical measures that can use Kinetics Paradigm historical prices to predict the future Kinetics Paradigm's volatility.| Risk Adjusted Performance | 0.1378 | |||
| Jensen Alpha | 0.3031 | |||
| Total Risk Alpha | 0.1257 | |||
| Sortino Ratio | 0.1475 | |||
| Treynor Ratio | (2.52) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Kinetics Paradigm'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.
Kinetics Paradigm Backtested Returns
Kinetics Paradigm appears to be very steady, given 3 months investment horizon. Kinetics Paradigm has Sharpe Ratio of 0.19, which conveys that the entity had a 0.19% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Kinetics Paradigm, which you can use to evaluate the volatility of the fund. Please exercise Kinetics Paradigm's Risk Adjusted Performance of 0.1378, downside deviation of 1.5, and Mean Deviation of 1.0 to check out if our risk estimates are consistent with your expectations. The fund secures a Beta (Market Risk) of -0.12, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Kinetics Paradigm are expected to decrease at a much lower rate. During the bear market, Kinetics Paradigm is likely to outperform the market.
Auto-correlation | 0.59 |
Modest predictability
Kinetics Paradigm Fund has modest predictability. Overlapping area represents the amount of predictability between Kinetics Paradigm time series from 11th of April 2024 to 26th of April 2024 and 26th of April 2024 to 11th 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 Kinetics Paradigm price movement. The serial correlation of 0.59 indicates that roughly 59.0% of current Kinetics Paradigm price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.59 | |
| Spearman Rank Test | -0.71 | |
| Residual Average | 0.0 | |
| Price Variance | 3.39 |
Kinetics Paradigm lagged returns against current returns
Autocorrelation, which is Kinetics Paradigm 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 Kinetics Paradigm's mutual fund expected returns. We can calculate the autocorrelation of Kinetics Paradigm returns to help us make a trade decision. For example, suppose you find that Kinetics Paradigm 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 |
Kinetics Paradigm 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 Kinetics Paradigm mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Kinetics Paradigm mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Kinetics Paradigm mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Kinetics Paradigm Lagged Returns
When evaluating Kinetics Paradigm's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Kinetics Paradigm mutual fund have on its future price. Kinetics Paradigm 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, Kinetics Paradigm autocorrelation shows the relationship between Kinetics Paradigm mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Kinetics Paradigm Fund.
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 Kinetics Paradigm 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, Kinetics Paradigm's short interest history, or implied volatility extrapolated from Kinetics Paradigm options trading.
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Try AI Portfolio ArchitectCheck out Kinetics Paradigm Correlation, Kinetics Paradigm Volatility and Kinetics Paradigm Alpha and Beta module to complement your research on Kinetics Paradigm. Note that the Kinetics Paradigm information on this page should be used as a complementary analysis to other Kinetics Paradigm's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
Kinetics Paradigm 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.