# AMS Small (Netherlands) Market Value

ASCX Index | 1,199 1.05 0.09% |

**1198.78**as of the 9th of November 2024; that is

**0.09% down**since the beginning of the trading day. The index's open price was

**1199.83**. With this module, you can estimate the performance of a buy and hold strategy of AMS Small Cap and determine expected loss or profit from investing in AMS Small over a given investment horizon. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any index could be closely tied with the direction of predictive economic indicators such as signals in board of governors.

Symbol | AMS |

## AMS Small '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 AMS Small's index 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 AMS Small.

10/10/2024 |
| 11/09/2024 |

If you would invest

**0.00**in AMS Small on**October 10, 2024**and sell it all today you would**earn a total of 0.00**from holding AMS Small Cap or generate**0.0%**return on investment in AMS Small over**30**days.## AMS Small 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 AMS Small's index 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 AMS Small Cap upside and downside potential and time the market with a certain degree of confidence.

Downside Deviation | 0.6905 | |||

Information Ratio | (0.18) | |||

Maximum Drawdown | 4.74 | |||

Value At Risk | (1.23) | |||

Potential Upside | 1.4 |

## AMS Small Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for AMS Small's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AMS Small's standard deviation. In reality, there are many statistical measures that can use AMS Small historical prices to predict the future AMS Small's volatility.Risk Adjusted Performance | 0.0162 | |||

Total Risk Alpha | (0.17) | |||

Sortino Ratio | (0.22) |

## AMS Small Cap Backtested Returns

AMS Small Cap secures Sharpe Ratio (or Efficiency) of 0.0222, which signifies that the index had a 0.0222% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for AMS Small Cap, which you can use to evaluate the volatility of the entity. The index shows a Beta (market volatility) of

**0.0**, which signifies not very significant fluctuations relative to the market. the returns on MARKET and AMS Small are completely uncorrelated.## Auto-correlation | 0.70 |

### Good predictability

AMS Small Cap has good predictability. Overlapping area represents the amount of predictability between AMS Small time series from 10th of October 2024 to 25th of October 2024 and 25th of October 2024 to 9th of November 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 AMS Small Cap price movement. The serial correlation of

**0.7**indicates that around 70.0% of current AMS Small price fluctuation can be explain by its past prices.Correlation Coefficient | 0.7 | |

Spearman Rank Test | 0.92 | |

Residual Average | 0.0 | |

Price Variance | 262.67 |

## AMS Small Cap lagged returns against current returns

Autocorrelation, which is AMS Small index'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 AMS Small's index expected returns. We can calculate the autocorrelation of AMS Small returns to help us make a trade decision. For example, suppose you find that AMS Small has exhibited high autocorrelation historically, and you observe that the index 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 |

## AMS Small 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 AMS Small index is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AMS Small index is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AMS Small index over time.

Current vs Lagged Prices |

Timeline |

## AMS Small Lagged Returns

When evaluating AMS Small's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AMS Small index have on its future price. AMS Small 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, AMS Small autocorrelation shows the relationship between AMS Small index current value and its past values and can show if there is a momentum factor associated with investing in AMS Small Cap.

Regressed Prices |

Timeline |