HomeToGo (Germany) Market Value

HTG Stock   2.05  0.04  1.99%   
HomeToGo's market value is the price at which a share of HomeToGo trades on a public exchange. It measures the collective expectations of HomeToGo SE investors about its performance. HomeToGo is selling for under 2.05 as of the 1st of February 2025; that is 1.99 percent increase since the beginning of the trading day. The stock's last reported lowest price was 2.05.
With this module, you can estimate the performance of a buy and hold strategy of HomeToGo SE and determine expected loss or profit from investing in HomeToGo over a given investment horizon. Check out HomeToGo Correlation, HomeToGo Volatility and HomeToGo Alpha and Beta module to complement your research on HomeToGo.
Symbol

Please note, there is a significant difference between HomeToGo's value and its price as these two are different measures arrived at by different means. Investors typically determine if HomeToGo is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, HomeToGo'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.

HomeToGo '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 HomeToGo's stock 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 HomeToGo.
0.00
08/05/2024
No Change 0.00  0.0 
In 5 months and 30 days
02/01/2025
0.00
If you would invest  0.00  in HomeToGo on August 5, 2024 and sell it all today you would earn a total of 0.00 from holding HomeToGo SE or generate 0.0% return on investment in HomeToGo over 180 days. HomeToGo is related to or competes with Scientific Games, WT OFFSHORE, FRACTAL GAMING, and QINGCI GAMES. More

HomeToGo 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 HomeToGo's stock 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 HomeToGo SE upside and downside potential and time the market with a certain degree of confidence.

HomeToGo Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for HomeToGo's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as HomeToGo's standard deviation. In reality, there are many statistical measures that can use HomeToGo historical prices to predict the future HomeToGo's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of HomeToGo'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.
Hype
Prediction
LowEstimatedHigh
0.102.055.23
Details
Intrinsic
Valuation
LowRealHigh
0.091.734.91
Details
Naive
Forecast
LowNextHigh
0.041.985.16
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
1.912.022.13
Details

HomeToGo SE Backtested Returns

HomeToGo SE holds Efficiency (Sharpe) Ratio of -0.0259, which attests that the entity had a -0.0259 % return per unit of risk over the last 3 months. HomeToGo SE exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out HomeToGo's Standard Deviation of 3.05, risk adjusted performance of (0.05), and Market Risk Adjusted Performance of (0.73) to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.29, which attests to not very significant fluctuations relative to the market. As returns on the market increase, HomeToGo's returns are expected to increase less than the market. However, during the bear market, the loss of holding HomeToGo is expected to be smaller as well. At this point, HomeToGo SE has a negative expected return of -0.0823%. Please make sure to check out HomeToGo's treynor ratio, as well as the relationship between the daily balance of power and price action indicator , to decide if HomeToGo SE performance from the past will be repeated at some point in the near future.

Auto-correlation

    
  -0.5  

Modest reverse predictability

HomeToGo SE has modest reverse predictability. Overlapping area represents the amount of predictability between HomeToGo time series from 5th of August 2024 to 3rd of November 2024 and 3rd of November 2024 to 1st of February 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of HomeToGo SE price movement. The serial correlation of -0.5 indicates that about 50.0% of current HomeToGo price fluctuation can be explain by its past prices.
Correlation Coefficient-0.5
Spearman Rank Test-0.62
Residual Average0.0
Price Variance0.01

HomeToGo SE lagged returns against current returns

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

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

HomeToGo Lagged Returns

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

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Additional Tools for HomeToGo Stock Analysis

When running HomeToGo's price analysis, check to measure HomeToGo's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy HomeToGo is operating at the current time. Most of HomeToGo's value examination focuses on studying past and present price action to predict the probability of HomeToGo's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move HomeToGo's price. Additionally, you may evaluate how the addition of HomeToGo to your portfolios can decrease your overall portfolio volatility.