WSE WIG's market value is the price at which a share of WSE WIG trades on a public exchange. It measures the collective expectations of WSE WIG INDEX investors about its performance. WSE WIG is listed at 79130.50 as of the 27th of November 2024, which is a 0.49% down since the beginning of the trading day. The index's lowest day price was 78603.16. With this module, you can estimate the performance of a buy and hold strategy of WSE WIG INDEX and determine expected loss or profit from investing in WSE WIG over a given investment horizon. Check out Your Current Watchlist 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 gross domestic product.
Symbol
WSE
WSE WIG '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 WSE WIG'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 WSE WIG.
0.00
05/31/2024
No Change 0.00
0.0
In 5 months and 30 days
11/27/2024
0.00
If you would invest 0.00 in WSE WIG on May 31, 2024 and sell it all today you would earn a total of 0.00 from holding WSE WIG INDEX or generate 0.0% return on investment in WSE WIG over 180 days.
WSE WIG 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 WSE WIG'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 WSE WIG INDEX upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for WSE WIG's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as WSE WIG's standard deviation. In reality, there are many statistical measures that can use WSE WIG historical prices to predict the future WSE WIG's volatility.
WSE WIG INDEX shows Sharpe Ratio of -0.0856, which attests that the index had a -0.0856% return per unit of volatility over the last 3 months. WSE WIG INDEX exposes twenty different technical indicators, which can help you to evaluate volatility embedded in its price movement. The entity maintains a market beta of 0.0, which attests to not very significant fluctuations relative to the market. the returns on MARKET and WSE WIG are completely uncorrelated.
Auto-correlation
0.50
Modest predictability
WSE WIG INDEX has modest predictability. Overlapping area represents the amount of predictability between WSE WIG time series from 31st of May 2024 to 29th of August 2024 and 29th of August 2024 to 27th 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 WSE WIG INDEX price movement. The serial correlation of 0.5 indicates that about 50.0% of current WSE WIG price fluctuation can be explain by its past prices.
Correlation Coefficient
0.5
Spearman Rank Test
0.45
Residual Average
0.0
Price Variance
3.2 M
WSE WIG INDEX lagged returns against current returns
Autocorrelation, which is WSE WIG 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 WSE WIG's index expected returns. We can calculate the autocorrelation of WSE WIG returns to help us make a trade decision. For example, suppose you find that WSE WIG 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
WSE WIG 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 WSE WIG index is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if WSE WIG index is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in WSE WIG index over time.
Current vs Lagged Prices
Timeline
WSE WIG Lagged Returns
When evaluating WSE WIG's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of WSE WIG index have on its future price. WSE WIG 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, WSE WIG autocorrelation shows the relationship between WSE WIG index current value and its past values and can show if there is a momentum factor associated with investing in WSE WIG INDEX.
Regressed Prices
Timeline
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.