Linamar Stock Volatility

LIMAF Stock  USD 43.98  0.98  2.28%   
Linamar has Sharpe Ratio of -0.0618, which conveys that the firm had a -0.0618% return per unit of risk over the last 3 months. Linamar exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Linamar's Mean Deviation of 1.05, standard deviation of 1.4, and Risk Adjusted Performance of (0.03) to check out the risk estimate we provide. Key indicators related to Linamar's volatility include:
30 Days Market Risk
Chance Of Distress
30 Days Economic Sensitivity
Linamar Pink Sheet volatility depicts how high the prices fluctuate around the mean (or its average) price. In other words, it is a statistical measure of the distribution of Linamar daily returns, and it is calculated using variance and standard deviation. We also use Linamar's beta, its sensitivity to the market, as well as its odds of financial distress to provide a more practical estimation of Linamar volatility.
  
Since volatility provides investors with entry points to take advantage of stock prices, companies, such as Linamar can benefit from it. Downward market volatility can be a perfect environment for investors who play the long game as hey may decide to buy additional stocks of Linamar at lower prices to lower their average cost per share. Similarly, when the prices of Linamar's stock rise, investors can sell out and invest the proceeds in other equities with better opportunities.

Moving together with Linamar Pink Sheet

  0.72AAGH America Great HealthPairCorr

Moving against Linamar Pink Sheet

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Linamar Market Sensitivity And Downside Risk

Linamar's beta coefficient measures the volatility of Linamar pink sheet compared to the systematic risk of the entire market represented by your selected benchmark. In mathematical terms, beta represents the slope of the line through a regression of data points where each of these points represents Linamar pink sheet's returns against your selected market. In other words, Linamar's beta of 1.06 provides an investor with an approximation of how much risk Linamar pink sheet can potentially add to one of your existing portfolios. Linamar exhibits very low volatility with skewness of -0.44 and kurtosis of 0.58. Understanding different market volatility trends often help investors to time the market. Properly using volatility indicators enable traders to measure Linamar's pink sheet risk against market volatility during both bullish and bearish trends. The higher level of volatility that comes with bear markets can directly impact Linamar's pink sheet price while adding stress to investors as they watch their shares' value plummet. This usually forces investors to rebalance their portfolios by buying different financial instruments as prices fall.
3 Months Beta |Analyze Linamar Demand Trend
Check current 90 days Linamar correlation with market (Dow Jones Industrial)

Linamar Beta

    
  1.06  
Linamar standard deviation measures the daily dispersion of prices over your selected time horizon relative to its mean. A typical volatile entity has a high standard deviation, while the deviation of a stable instrument is usually low. As a downside, the standard deviation calculates all uncertainty as risk, even when it is in your favor, such as above-average returns.

Standard Deviation

    
  1.38  
It is essential to understand the difference between upside risk (as represented by Linamar's standard deviation) and the downside risk, which can be measured by semi-deviation or downside deviation of Linamar's daily returns or price. Since the actual investment returns on holding a position in linamar pink sheet tend to have a non-normal distribution, there will be different probabilities for losses than for gains. The likelihood of losses is reflected in the downside risk of an investment in Linamar.

Linamar Pink Sheet Volatility Analysis

Volatility refers to the frequency at which Linamar pink sheet price increases or decreases within a specified period. These fluctuations usually indicate the level of risk that's associated with Linamar's price changes. Investors will then calculate the volatility of Linamar's pink sheet to predict their future moves. A pink sheet that has erratic price changes quickly hits new highs, and lows are considered highly volatile. A pink sheet with relatively stable price changes has low volatility. A highly volatile pink sheet is riskier, but the risk cuts both ways. Investing in highly volatile security can either be highly successful, or you may experience significant failure. There are two main types of Linamar's volatility:

Historical Volatility

This type of pink sheet volatility measures Linamar's fluctuations based on previous trends. It's commonly used to predict Linamar's future behavior based on its past. However, it cannot conclusively determine the future direction of the pink sheet.

Implied Volatility

This type of volatility provides a positive outlook on future price fluctuations for Linamar's current market price. This means that the pink sheet will return to its initially predicted market price. This type of volatility can be derived from derivative instruments written on Linamar's to be redeemed at a future date.
Transformation
The output start index for this execution was zero with a total number of output elements of sixty-one. Linamar Average Price is the average of the sum of open, high, low and close daily prices of a bar. It can be used to smooth an indicator that normally takes just the closing price as input.

Linamar Projected Return Density Against Market

Assuming the 90 days horizon the pink sheet has the beta coefficient of 1.0553 . This indicates Linamar market returns are reactive to returns on the market. As the market goes up or down, Linamar is expected to follow.
Most traded equities are subject to two types of risk - systematic (i.e., market) and unsystematic (i.e., nonmarket or company-specific) risk. Unsystematic risk is the risk that events specific to Linamar or Auto Components sector will adversely affect the stock's price. This type of risk can be diversified away by owning several different stocks in different industries whose stock prices have shown a small correlation to each other. On the other hand, systematic risk is the risk that Linamar's price will be affected by overall pink sheet market movements and cannot be diversified away. So, no matter how many positions you have, you cannot eliminate market risk. However, you can measure a Linamar pink sheet's historical response to market movements and buy it if you are comfortable with its volatility direction. Beta and standard deviation are two commonly used measures to help you make the right decision.
Linamar has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial.
   Predicted Return Density   
       Returns  
Linamar's volatility is measured either by using standard deviation or beta. Standard deviation will reflect the average amount of how linamar pink sheet's price will differ from the mean after some time.To get its calculation, you should first determine the mean price during the specified period then subtract that from each price point.

What Drives a Linamar Price Volatility?

Several factors can influence a pink sheet's market volatility:

Industry

Specific events can influence volatility within a particular industry. For instance, a significant weather upheaval in a crucial oil-production site may cause oil prices to increase in the oil sector. The direct result will be the rise in the stock price of oil distribution companies. Similarly, any government regulation in a specific industry could negatively influence stock prices due to increased regulations on compliance that may impact the company's future earnings and growth.

Political and Economic environment

When governments make significant decisions regarding trade agreements, policies, and legislation regarding specific industries, they will influence stock prices. Everything from speeches to elections may influence investors, who can directly influence the stock prices in any particular industry. The prevailing economic situation also plays a significant role in stock prices. When the economy is doing well, investors will have a positive reaction and hence, better stock prices and vice versa.

The Company's Performance

Sometimes volatility will only affect an individual company. For example, a revolutionary product launch or strong earnings report may attract many investors to purchase the company. This positive attention will raise the company's stock price. In contrast, product recalls and data breaches may negatively influence a company's stock prices.

Linamar Pink Sheet Risk Measures

Assuming the 90 days horizon the coefficient of variation of Linamar is -1617.88. The daily returns are distributed with a variance of 1.92 and standard deviation of 1.38. The mean deviation of Linamar is currently at 1.03. For similar time horizon, the selected benchmark (Dow Jones Industrial) has volatility of 0.76
α
Alpha over Dow Jones
-0.18
β
Beta against Dow Jones1.06
σ
Overall volatility
1.38
Ir
Information ratio -0.12

Linamar Pink Sheet Return Volatility

Linamar historical daily return volatility represents how much of Linamar pink sheet's daily returns swing around its mean - it is a statistical measure of its dispersion of returns. The company shows 1.3844% volatility of returns over 90 . By contrast, Dow Jones Industrial accepts 0.7608% volatility on return distribution over the 90 days horizon.
 Performance 
       Timeline  

About Linamar Volatility

Volatility is a rate at which the price of Linamar or any other equity instrument increases or decreases for a given set of returns. It is measured by calculating the standard deviation of the annualized returns over a given period of time and shows the range to which the price of Linamar may increase or decrease. In other words, similar to Linamar's beta indicator, it measures the risk of Linamar and helps estimate the fluctuations that may happen in a short period of time. So if prices of Linamar fluctuate rapidly in a short time span, it is termed to have high volatility, and if it swings slowly in a more extended period, it is understood to have low volatility.
Please read more on our technical analysis page.
Linamar Corporation, together with its subsidiaries, design, develop, and produce engineered products in Canada, North America, Europe, and the Asia Pacific. Linamar Corporation was founded in 1964 and is headquartered in Guelph, Canada. LINAMAR CORP operates under Auto Parts classification in the United States and is traded on OTC Exchange. It employs 26796 people.
Linamar's stock volatility refers to the amount of uncertainty or risk involved with the size of changes in its stock's price. It is a statistical measure of the dispersion of returns on Linamar Pink Sheet over a specified period of time, often expressed as the standard deviation of daily returns. In other words, it measures how much Linamar's price varies over time.

3 ways to utilize Linamar's volatility to invest better

Higher Linamar's stock volatility means that the price of its stock is changing rapidly and unpredictably, while lower stock volatility indicates that the price of Linamar stock is relatively stable. Investors and traders use stock volatility as an indicator of risk and potential reward, as stocks with higher volatility can offer the potential for more significant returns but also come with a greater risk of losses. Linamar stock volatility can provide helpful information for making investment decisions in the following ways:
  • Measuring Risk: Volatility can be used as a measure of risk, which can help you determine the potential fluctuations in the value of Linamar investment. A higher volatility means higher risk and potentially larger changes in value.
  • Identifying Opportunities: High volatility in Linamar's stock can indicate that there is potential for significant price movements, either up or down, which could present investment opportunities.
  • Diversification: Understanding how the volatility of Linamar's stock relates to your other investments can help you create a well-diversified portfolio of assets with varying levels of risk.
Remember it's essential to remember that stock volatility is just one of many factors to consider when making investment decisions, and it should be used in conjunction with other fundamental and technical analysis tools.

Linamar Investment Opportunity

Linamar has a volatility of 1.38 and is 1.82 times more volatile than Dow Jones Industrial. Compared to the overall equity markets, volatility of historical daily returns of Linamar is lower than 12 percent of all global equities and portfolios over the last 90 days. You can use Linamar to enhance the returns of your portfolios. The pink sheet experiences an expected bullish sentiment for its category. Check odds of Linamar to be traded at $52.78 in 90 days.

Very weak diversification

The correlation between Linamar and DJI is 0.57 (i.e., Very weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Linamar and DJI in the same portfolio, assuming nothing else is changed.

Linamar Additional Risk Indicators

The analysis of Linamar's secondary risk indicators is one of the essential steps in making a buy or sell decision. The process involves identifying the amount of risk involved in Linamar's investment and either accepting that risk or mitigating it. Along with some common measures of Linamar pink sheet's risk such as standard deviation, beta, or value at risk, we also provide a set of secondary indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential pink sheets, we recommend comparing similar pink sheets with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Linamar Suggested Diversification Pairs

Pair trading is one of the very effective strategies used by professional day traders and hedge funds capitalizing on short-time and mid-term market inefficiencies. The approach is based on the fact that the ratio of prices of two correlating shares is long-term stable and oscillates around the average value. If the correlation ratio comes outside the common area, you can speculate with a high success rate that the ratio will return to the mean value and collect a profit.
The effect of pair diversification on risk is to reduce it, but we should note this doesn't apply to all risk types. When we trade pairs against Linamar as a counterpart, there is always some inherent risk that will never be diversified away no matter what. This volatility limits the effect of tactical diversification using pair trading. Linamar's systematic risk is the inherent uncertainty of the entire market, and therefore cannot be mitigated even by pair-trading it against the equity that is not highly correlated to it. On the other hand, Linamar's unsystematic risk describes the types of risk that we can protect against, at least to some degree, by selecting a matching pair that is not perfectly correlated to Linamar.

Complementary Tools for Linamar Pink Sheet analysis

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