Shelton International Select Fund Market Value
| SISEX Fund | USD 23.94 0.08 0.34% |
| Symbol | Shelton |
Shelton International '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 Shelton International'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 Shelton International.
| 04/01/2023 |
| 04/25/2024 |
If you would invest 0.00 in Shelton International on April 1, 2023 and sell it all today you would earn a total of 0.00 from holding Shelton International Select or generate 0.0% return on investment in Shelton International over 390 days. Shelton International is related to or competes with Vanguard Total, Vanguard Developed, and Fidelity International. The fund primarily invests at least 80 percent of its net assets in a combination of equity securities of foreign compan... More
Shelton International 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 Shelton International'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 Shelton International Select upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6109 | |||
| Information Ratio | 0.0093 | |||
| Maximum Drawdown | 2.78 | |||
| Value At Risk | (0.74) | |||
| Potential Upside | 1.04 |
Shelton International Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Shelton International's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Shelton International's standard deviation. In reality, there are many statistical measures that can use Shelton International historical prices to predict the future Shelton International's volatility.| Risk Adjusted Performance | 0.1053 | |||
| Jensen Alpha | 0.0368 | |||
| Total Risk Alpha | 0.0095 | |||
| Sortino Ratio | 0.0091 | |||
| Treynor Ratio | 0.1433 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Shelton International'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.
Shelton International Backtested Returns
We consider Shelton International very steady. Shelton International owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.13, which indicates the fund had a 0.13% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Shelton International Select, which you can use to evaluate the volatility of the fund. Please validate Shelton International's Risk Adjusted Performance of 0.1053, coefficient of variation of 589.56, and Semi Deviation of 0.4236 to confirm if the risk estimate we provide is consistent with the expected return of 0.0812%. The entity has a beta of 0.63, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Shelton International's returns are expected to increase less than the market. However, during the bear market, the loss of holding Shelton International is expected to be smaller as well.
Auto-correlation | -0.35 |
Poor reverse predictability
Shelton International Select has poor reverse predictability. Overlapping area represents the amount of predictability between Shelton International time series from 1st of April 2023 to 13th of October 2023 and 13th of October 2023 to 25th 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 Shelton International price movement. The serial correlation of -0.35 indicates that nearly 35.0% of current Shelton International price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.35 | |
| Spearman Rank Test | -0.46 | |
| Residual Average | 0.0 | |
| Price Variance | 1.22 |
Shelton International lagged returns against current returns
Autocorrelation, which is Shelton International 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 Shelton International's mutual fund expected returns. We can calculate the autocorrelation of Shelton International returns to help us make a trade decision. For example, suppose you find that Shelton International 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 |
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Shelton International 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 Shelton International mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Shelton International mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Shelton International mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Shelton International Lagged Returns
When evaluating Shelton International's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Shelton International mutual fund have on its future price. Shelton International 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, Shelton International autocorrelation shows the relationship between Shelton International mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Shelton International Select.
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 Shelton International 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, Shelton International's short interest history, or implied volatility extrapolated from Shelton International options trading.
Currently Active Assets on Macroaxis
Check out Shelton International Correlation, Shelton International Volatility and Shelton International Alpha and Beta module to complement your research on Shelton International. Note that the Shelton International information on this page should be used as a complementary analysis to other Shelton International'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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
Shelton International 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.