Loomis Mutual Fund Volatility

NERNX -  USA Fund  

USD 13.58  0.04  0.30%

Loomis Sayles Core has Sharpe Ratio of -0.14, which conveys that the entity had -0.14% of return per unit of risk over the last 3 months. Macroaxis standpoint towards estimating the risk of any fund is to look at both systematic and unsystematic factors of the business, including all available market data and technical indicators. Loomis Sayles exposes twenty-six different technical indicators, which can help you to evaluate volatility that cannot be diversified away. Please be advised to verify Loomis Sayles Core risk adjusted performance of (0.11), and Mean Deviation of 0.1372 to check out the risk estimate we provide.

Loomis Volatility 

 
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Loomis Sayles Mutual Fund 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 Loomis daily returns, and it is calculated using variance and standard deviation. We also use Loomis's beta, its sensitivity to the market, as well as its odds of financial distress to provide a more practical estimation of Loomis Sayles volatility.

90 Days Market Risk

Very steady

Chance of Distress

Very Small

90 Days Economic Sensitivity

Moves indifferently to market moves
Since volatility provides investors with entry points to take advantage of stock prices, companies, such as Loomis Sayles can benefit from it. Downward market volatility can be a perfect environment for investors who play the long game. Here, they may decide to buy additional stocks of Loomis Sayles at lower prices. For example, an investor can purchase Loomis stock that has halved in price over a short period. This will lower your average cost per share, thereby improving your portfolio's performance when the markets normalize. Similarly, when the prices of Loomis Sayles' stock rises, investors can sell out and invest the proceeds in other equities with better opportunities. Investing when markets are volatile with better valuations will accord both investors and companies the opportunity to generate better long-term returns.

Loomis Sayles Market Sensitivity And Downside Risk

Loomis Sayles' beta coefficient measures the volatility of Loomis mutual fund compared to the systematic risk of the entire stock 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 Loomis mutual fund's returns against your selected market. In other words, Loomis Sayles's beta of -0.0179 provides an investor with an approximation of how much risk Loomis Sayles mutual fund can potentially add to one of your existing portfolios.
Let's try to break down what Loomis's beta means in this case. As returns on the market increase, returns on owning Loomis Sayles are expected to decrease at a much lower rate. During the bear market, Loomis Sayles is likely to outperform the market.
3 Months Beta |Analyze Loomis Sayles Core Demand Trend
Check current 90 days Loomis Sayles correlation with market (DOW)

Loomis Beta

    
  -0.0179  
Loomis standard deviation measures the daily dispersion of prices over your selected time horizon relative to its mean. Typical volatile equity 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

    
  0.18  
It is essential to understand the difference between upside risk (as represented by Loomis Sayles's standard deviation) and the downside risk, which can be measured by semi-deviation or downside deviation of Loomis Sayles stock's daily returns or price. Since the actual investment returns on holding a position in Loomis Sayles stock 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 Loomis Sayles.

Loomis Sayles Core Mutual Fund Volatility Analysis

Volatility refers to the frequency at which Loomis Sayles stock price increases or decreases within a specified period. These fluctuations usually indicate the level of risk that's associated with Loomis Sayles' price changes. Investors will then calculate the volatility of Loomis Sayles' stock to predict their future moves. A stock that has erratic price changes quickly hits new highs, and lows are considered highly volatile. A stock with relatively stable price changes has low volatility. A highly volatile stock 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 Loomis Sayles' volatility:

Historical Volatility

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

Implied Volatility

This type of volatility provides a positive outlook on future price fluctuations for Loomis Sayles' current market price. This means that the stock will return to its initially predicted market price.
Transformation
The output start index for this execution was zero with a total number of output elements of sixty-one. Developed by Larry Williams, the Weighted Close is the average of Loomis Sayles Core high, low and close of a chart with the close values weighted twice. It can be used to smooth an indicator that normally takes only Loomis Sayles closing price as input. View also all equity analysis or get more info about weighted close price price transform indicator.

Loomis Sayles Projected Return Density Against Market

Assuming the 90 days horizon Loomis Sayles Core has a beta of -0.0179 . This indicates as returns on benchmark increase, returns on holding Loomis Sayles are expected to decrease at a much lower rate. During the bear market, however, Loomis Sayles Core is likely to outperform the market.
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 Loomis Sayles or Natixis Funds 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 Loomis Sayles stock's price will be affected by overall stock 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 Loomis stock'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.
The company has a negative alpha, implying that the risk taken by holding this instrument is not justified. Loomis Sayles Core is significantly underperforming DOW.
 Predicted Return Density 
      Returns 
Loomis Sayles' volatility is measured either by using standard deviation or beta. Standard deviation will reflect the average amount of how Loomis Sayles stock'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 Company's Stock Price Volatility?

Several factors can influence a company's stock 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.

Loomis Sayles Mutual Fund Risk Measures

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 Loomis Sayles or Natixis Funds 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 Loomis Sayles stock's price will be affected by overall stock 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 Loomis stock'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.
Assuming the 90 days horizon the coefficient of variation of Loomis Sayles is -731.8. The daily returns are distributed with a variance of 0.03 and standard deviation of 0.18. The mean deviation of Loomis Sayles Core is currently at 0.14. For similar time horizon, the selected benchmark (DOW) has volatility of 0.75
α
Alpha over DOW
-0.03
β
Beta against DOW-0.02
σ
Overall volatility
0.18
Ir
Information ratio 0.0021

Loomis Sayles Mutual Fund Return Volatility

Loomis Sayles historical daily return volatility represents how much Loomis Sayles stock's price daily returns swing around its mean daily price change - it is a statistical measure of its dispersion of returns. The fund shows 0.1771% volatility of returns over 90 . By contrast, DOW inherits 0.8268% risk (volatility on return distribution) over the 90 days horizon.
 Performance (%) 
      Timeline 

About Loomis Sayles Volatility

Volatility is a rate at which the price of Loomis Sayles 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 Loomis Sayles may increase or decrease. In other words, similar to Loomis's beta indicator, it measures the risk of Loomis Sayles and helps estimate the fluctuations that may happen in a short period of time. So if prices of Loomis Sayles 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.
The investment seeks high total investment return through a combination of current income and capital appreciation. Under normal market conditions, the fund will invest at least 80 percent of its net assets in bonds, which include debt securities of any maturity. In addition, it will invest at least 65 percent of its net assets in investment grade securities. The fund will generally seek to maintain an effective duration of - 2 years relative to the Bloomberg Barclays U.S. Aggregate Bond Index.

Loomis Sayles Investment Opportunity

DOW has a standard deviation of returns of 0.83 and is 4.61 times more volatile than Loomis Sayles Core. of all equities and portfolios are less risky than Loomis Sayles. Compared to the overall equity markets, volatility of historical daily returns of Loomis Sayles Core is lower than 1 () of all global equities and portfolios over the last 90 days. Use Loomis Sayles Core to enhance returns of your portfolios. The mutual fund experiences a normal upward fluctuation. Check odds of Loomis Sayles to be traded at $14.26 in 90 days. . Let's try to break down what Loomis's beta means in this case. As returns on the market increase, returns on owning Loomis Sayles are expected to decrease at a much lower rate. During the bear market, Loomis Sayles is likely to outperform the market.

Good diversification

The correlation between Loomis Sayles Core and DJI is Good diversification for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Loomis Sayles Core and DJI in the same portfolio assuming nothing else is changed.

Loomis Sayles Additional Risk Indicators

The analysis of Loomis Sayles' 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 Loomis Sayles' investment and either accepting that risk or mitigating it. Along with some common measures of Loomis Sayles stock 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.
Risk Adjusted Performance(0.11)
Market Risk Adjusted Performance1.61
Mean Deviation0.1372
Coefficient Of Variation(946.07)
Standard Deviation0.1769
Variance0.0313
Information Ratio0.0021
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential stock investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Loomis Sayles 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.
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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 Loomis Sayles 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. Loomis Sayles' 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, Loomis Sayles' 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 Loomis Sayles Core.
Additionally, see Stocks Correlation. Note that the Loomis Sayles Core information on this page should be used as a complementary analysis to other Loomis Sayles' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..

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When running Loomis Sayles Core price analysis, check to measure Loomis Sayles' 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 Loomis Sayles is operating at the current time. Most of Loomis Sayles' value examination focuses on studying past and present price action to predict the probability of Loomis Sayles' future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Loomis Sayles' price. Additionally, you may evaluate how the addition of Loomis Sayles to your portfolios can decrease your overall portfolio volatility.
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Please note, there is a significant difference between Loomis Sayles' value and its price as these two are different measures arrived at by different means. Investors typically determine Loomis Sayles value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Loomis Sayles' 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.