Alps Electric Co Stock Market Value

APELY Stock  USD 20.43  0.31  1.54%   
Alps Electric's market value is the price at which a share of Alps Electric trades on a public exchange. It measures the collective expectations of Alps Electric Co investors about its performance. Alps Electric is trading at 20.43 as of the 3rd of December 2024; that is 1.54 percent increase since the beginning of the trading day. The stock's open price was 20.12.
With this module, you can estimate the performance of a buy and hold strategy of Alps Electric Co and determine expected loss or profit from investing in Alps Electric over a given investment horizon. Check out Alps Electric Correlation, Alps Electric Volatility and Alps Electric Alpha and Beta module to complement your research on Alps Electric.
Symbol

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

Alps Electric '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 Alps Electric's pink sheet 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 Alps Electric.
0.00
11/03/2024
No Change 0.00  0.0 
In 31 days
12/03/2024
0.00
If you would invest  0.00  in Alps Electric on November 3, 2024 and sell it all today you would earn a total of 0.00 from holding Alps Electric Co or generate 0.0% return on investment in Alps Electric over 30 days. Alps Electric is related to or competes with KULR Technology, Ouster, MicroCloud Hologram, and Kopin. Alps Alpine Co., Ltd. manufactures and sells electronic components in Japan and internationally More

Alps Electric 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 Alps Electric's pink sheet 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 Alps Electric Co upside and downside potential and time the market with a certain degree of confidence.

Alps Electric Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Alps Electric's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Alps Electric's standard deviation. In reality, there are many statistical measures that can use Alps Electric historical prices to predict the future Alps Electric's volatility.
Hype
Prediction
LowEstimatedHigh
18.7320.4322.13
Details
Intrinsic
Valuation
LowRealHigh
18.9620.6622.36
Details
Naive
Forecast
LowNextHigh
18.4020.1121.81
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
20.0620.3820.70
Details

Alps Electric Backtested Returns

Alps Electric secures Sharpe Ratio (or Efficiency) of -0.0019, which signifies that the company had a -0.0019% return per unit of risk over the last 3 months. Alps Electric Co exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Alps Electric's Risk Adjusted Performance of (0.01), mean deviation of 1.13, and Standard Deviation of 1.71 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.11, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Alps Electric's returns are expected to increase less than the market. However, during the bear market, the loss of holding Alps Electric is expected to be smaller as well. At this point, Alps Electric has a negative expected return of -0.0032%. Please make sure to confirm Alps Electric's variance, skewness, as well as the relationship between the Skewness and price action indicator , to decide if Alps Electric performance from the past will be repeated at some point in the near future.

Auto-correlation

    
  -0.3  

Weak reverse predictability

Alps Electric Co has weak reverse predictability. Overlapping area represents the amount of predictability between Alps Electric time series from 3rd of November 2024 to 18th of November 2024 and 18th of November 2024 to 3rd 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 Alps Electric price movement. The serial correlation of -0.3 indicates that nearly 30.0% of current Alps Electric price fluctuation can be explain by its past prices.
Correlation Coefficient-0.3
Spearman Rank Test0.11
Residual Average0.0
Price Variance0.01

Alps Electric lagged returns against current returns

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

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

Alps Electric Lagged Returns

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

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Additional Tools for Alps Pink Sheet Analysis

When running Alps Electric's price analysis, check to measure Alps Electric'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 Alps Electric is operating at the current time. Most of Alps Electric's value examination focuses on studying past and present price action to predict the probability of Alps Electric's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Alps Electric's price. Additionally, you may evaluate how the addition of Alps Electric to your portfolios can decrease your overall portfolio volatility.