KSM Mutual (Israel) Market Value
| KSM-F143 | 8,471 193.00 2.23% |
| Symbol | KSM |
Please note, there is a significant difference between KSM Mutual's value and its price as these two are different measures arrived at by different means. Investors typically determine if KSM Mutual is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, KSM Mutual's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
KSM Mutual '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 KSM Mutual's etf 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 KSM Mutual.
| 03/24/2024 |
| 04/23/2024 |
If you would invest 0.00 in KSM Mutual on March 24, 2024 and sell it all today you would earn a total of 0.00 from holding KSM Mutual Funds or generate 0.0% return on investment in KSM Mutual over 30 days. More
KSM Mutual 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 KSM Mutual's etf 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 KSM Mutual Funds upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9755 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 3.46 | |||
| Value At Risk | (0.94) | |||
| Potential Upside | 0.8379 |
KSM Mutual Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for KSM Mutual's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as KSM Mutual's standard deviation. In reality, there are many statistical measures that can use KSM Mutual historical prices to predict the future KSM Mutual's volatility.| Risk Adjusted Performance | 0.0572 | |||
| Jensen Alpha | 0.037 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.6538 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of KSM Mutual'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.
KSM Mutual Funds Backtested Returns
We consider KSM Mutual very steady. KSM Mutual Funds has Sharpe Ratio of 0.11, which conveys that the entity had a 0.11% return per unit of volatility over the last 3 months. We have found twenty-seven technical indicators for KSM Mutual, which you can use to evaluate the volatility of the etf. Please verify KSM Mutual's mean deviation of 0.3228, and Risk Adjusted Performance of 0.0572 to check out if the risk estimate we provide is consistent with the expected return of 0.0598%. The etf secures a Beta (Market Risk) of 0.064, which conveys not very significant fluctuations relative to the market. As returns on the market increase, KSM Mutual's returns are expected to increase less than the market. However, during the bear market, the loss of holding KSM Mutual is expected to be smaller as well.
Auto-correlation | 0.30 |
Below average predictability
KSM Mutual Funds has below average predictability. Overlapping area represents the amount of predictability between KSM Mutual time series from 24th of March 2024 to 8th of April 2024 and 8th of April 2024 to 23rd 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 KSM Mutual Funds price movement. The serial correlation of 0.3 indicates that nearly 30.0% of current KSM Mutual price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.3 | |
| Spearman Rank Test | -0.2 | |
| Residual Average | 0.0 | |
| Price Variance | 13.2 K |
KSM Mutual Funds lagged returns against current returns
Autocorrelation, which is KSM Mutual etf'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 KSM Mutual's etf expected returns. We can calculate the autocorrelation of KSM Mutual returns to help us make a trade decision. For example, suppose you find that KSM Mutual has exhibited high autocorrelation historically, and you observe that the etf 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 |
KSM Mutual 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 KSM Mutual etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if KSM Mutual etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in KSM Mutual etf over time.
Current vs Lagged Prices |
| Timeline |
KSM Mutual Lagged Returns
When evaluating KSM Mutual's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of KSM Mutual etf have on its future price. KSM Mutual 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, KSM Mutual autocorrelation shows the relationship between KSM Mutual etf current value and its past values and can show if there is a momentum factor associated with investing in KSM Mutual Funds.
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 KSM Mutual 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, KSM Mutual's short interest history, or implied volatility extrapolated from KSM Mutual options trading.
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Try AI Portfolio ArchitectCheck out KSM Mutual Correlation, KSM Mutual Volatility and KSM Mutual Alpha and Beta module to complement your research on KSM Mutual. Note that the KSM Mutual Funds information on this page should be used as a complementary analysis to other KSM Mutual'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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
KSM Mutual technical etf 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, etf market cycles, or different charting patterns.