495330 (Korea) Market Value

495330 Etf   9,265  110.00  1.17%   
495330's market value is the price at which a share of 495330 trades on a public exchange. It measures the collective expectations of 495330 investors about its performance. 495330 is trading at 9265.00 as of the 23rd of December 2024, a 1.17% down since the beginning of the trading day. The etf's open price was 9375.0.
With this module, you can estimate the performance of a buy and hold strategy of 495330 and determine expected loss or profit from investing in 495330 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 etf could be closely tied with the direction of predictive economic indicators such as signals in nation.
Symbol

495330 '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 495330'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 495330.
0.00
11/23/2024
No Change 0.00  0.0 
In 30 days
12/23/2024
0.00
If you would invest  0.00  in 495330 on November 23, 2024 and sell it all today you would earn a total of 0.00 from holding 495330 or generate 0.0% return on investment in 495330 over 30 days.

495330 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 495330'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 495330 upside and downside potential and time the market with a certain degree of confidence.

495330 Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for 495330's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as 495330's standard deviation. In reality, there are many statistical measures that can use 495330 historical prices to predict the future 495330's volatility.
Please note, it is not enough to conduct a financial or market analysis of a single entity such as 495330. Your research has to be compared to or analyzed against 495330's peers to derive any actionable benefits. When done correctly, 495330's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in 495330.

495330 Backtested Returns

495330 retains Efficiency (Sharpe Ratio) of -0.14, which signifies that the etf had a -0.14% return per unit of price deviation over the last 3 months. 495330 exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm 495330's Market Risk Adjusted Performance of 1.1, information ratio of (0.17), and Variance of 1.39 to double-check the risk estimate we provide. The entity owns a Beta (Systematic Risk) of -0.17, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning 495330 are expected to decrease at a much lower rate. During the bear market, 495330 is likely to outperform the market.

Auto-correlation

    
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No correlation between past and present

495330 has no correlation between past and present. Overlapping area represents the amount of predictability between 495330 time series from 23rd of November 2024 to 8th of December 2024 and 8th of December 2024 to 23rd of December 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 495330 price movement. The serial correlation of 0.0 indicates that just 0.0% of current 495330 price fluctuation can be explain by its past prices.
Correlation Coefficient0.0
Spearman Rank Test0.05
Residual Average0.0
Price Variance16 K

495330 lagged returns against current returns

Autocorrelation, which is 495330 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 495330's etf expected returns. We can calculate the autocorrelation of 495330 returns to help us make a trade decision. For example, suppose you find that 495330 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  

495330 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 495330 etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if 495330 etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in 495330 etf over time.
   Current vs Lagged Prices   
       Timeline  

495330 Lagged Returns

When evaluating 495330's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of 495330 etf have on its future price. 495330 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, 495330 autocorrelation shows the relationship between 495330 etf current value and its past values and can show if there is a momentum factor associated with investing in 495330.
   Regressed Prices   
       Timeline  

Pair Trading with 495330

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if 495330 position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in 495330 will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to 495330 could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace 495330 when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back 495330 - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling 495330 to buy it.
The correlation of 495330 is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as 495330 moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if 495330 moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for 495330 can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching