Sequoia Fund Inc Fund Market Value
| SEQUX Fund | USD 169.92 0.70 0.41% |
| Symbol | Sequoia |
Sequoia Fund '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 Sequoia Fund'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 Sequoia Fund.
| 03/21/2024 |
| 04/20/2024 |
If you would invest 0.00 in Sequoia Fund on March 21, 2024 and sell it all today you would earn a total of 0.00 from holding Sequoia Fund Inc or generate 0.0% return on investment in Sequoia Fund over 30 days. Sequoia Fund is related to or competes with Longleaf Partners, Fairholme Fund, Amg Yacktman, Clipper Fund, and Fpa Crescent. The funds investment objective is long-term growth of capital More
Sequoia Fund 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 Sequoia Fund'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 Sequoia Fund Inc upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8779 | |||
| Information Ratio | 0.0405 | |||
| Maximum Drawdown | 3.7 | |||
| Value At Risk | (1.45) | |||
| Potential Upside | 1.1 |
Sequoia Fund Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sequoia Fund's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sequoia Fund's standard deviation. In reality, there are many statistical measures that can use Sequoia Fund historical prices to predict the future Sequoia Fund's volatility.| Risk Adjusted Performance | 0.0939 | |||
| Jensen Alpha | 0.1113 | |||
| Total Risk Alpha | 0.0109 | |||
| Sortino Ratio | 0.0359 | |||
| Treynor Ratio | (1.83) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Sequoia Fund'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.
Sequoia Fund Backtested Returns
We consider Sequoia Fund very steady. Sequoia Fund owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.12, which indicates the fund had a 0.12% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Sequoia Fund Inc, which you can use to evaluate the volatility of the fund. Please validate Sequoia Fund's Semi Deviation of 0.7533, coefficient of variation of 666.49, and Risk Adjusted Performance of 0.0939 to confirm if the risk estimate we provide is consistent with the expected return of 0.0947%. The entity has a beta of -0.0585, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Sequoia Fund are expected to decrease at a much lower rate. During the bear market, Sequoia Fund is likely to outperform the market.
Auto-correlation | 0.36 |
Below average predictability
Sequoia Fund Inc has below average predictability. Overlapping area represents the amount of predictability between Sequoia Fund time series from 21st of March 2024 to 5th of April 2024 and 5th of April 2024 to 20th 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 Sequoia Fund price movement. The serial correlation of 0.36 indicates that just about 36.0% of current Sequoia Fund price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.36 | |
| Spearman Rank Test | -0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 4.17 |
Sequoia Fund lagged returns against current returns
Autocorrelation, which is Sequoia Fund 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 Sequoia Fund's mutual fund expected returns. We can calculate the autocorrelation of Sequoia Fund returns to help us make a trade decision. For example, suppose you find that Sequoia Fund 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 |
Sequoia Fund 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 Sequoia Fund mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sequoia Fund mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sequoia Fund mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Sequoia Fund Lagged Returns
When evaluating Sequoia Fund's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sequoia Fund mutual fund have on its future price. Sequoia Fund 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, Sequoia Fund autocorrelation shows the relationship between Sequoia Fund mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Sequoia Fund Inc.
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 Sequoia Fund 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, Sequoia Fund's short interest history, or implied volatility extrapolated from Sequoia Fund options trading.
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Check out Sequoia Fund Correlation, Sequoia Fund Volatility and Sequoia Fund Alpha and Beta module to complement your research on Sequoia Fund. You can also try the Share Portfolio module to track or share privately all of your investments from the convenience of any device.
Sequoia Fund 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.