Designer Brands Stock Volatility
| DBI Stock | USD 4.89 0.23 4.94% |
Designer Brands secures Sharpe Ratio (or Efficiency) of -0.17, which denotes the company had a -0.17% return per unit of risk over the last 3 months. Designer Brands exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Designer Brands' Standard Deviation of 3.91, mean deviation of 2.85, and Variance of 15.27 to check the risk estimate we provide. Key indicators related to Designer Brands' volatility include:
30 Days Market Risk | Chance Of Distress | 30 Days Economic Sensitivity |
Designer Brands Stock 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 Designer daily returns, and it is calculated using variance and standard deviation. We also use Designer's beta, its sensitivity to the market, as well as its odds of financial distress to provide a more practical estimation of Designer Brands volatility.
Designer |
ESG Sustainability
While most ESG disclosures are voluntary, Designer Brands' sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to Designer Brands' managers and investors.Environmental | Governance | Social |
Downward market volatility can be a perfect environment for investors who play the long game. Here, they may decide to buy additional stocks of Designer Brands at lower prices. For example, an investor can purchase Designer stock that has halved in price over a short period. This will lower their average cost per share, thereby improving the overall portfolio performance when market normalizes.
Moving against Designer Stock
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| 0.68 | LB | LandBridge Company | PairCorr |
| 0.66 | VSCO | Victorias Secret | PairCorr |
| 0.55 | ELA | Envela Corp | PairCorr |
| 0.41 | WEYS | Weyco Group | PairCorr |
| 0.4 | BQ | Boqii Holding Limited | PairCorr |
| 0.34 | HD | Home Depot | PairCorr |
Designer Brands Market Sensitivity And Downside Risk
Designer Brands' beta coefficient measures the volatility of Designer stock 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 Designer stock's returns against your selected market. In other words, Designer Brands's beta of 1.07 provides an investor with an approximation of how much risk Designer Brands stock can potentially add to one of your existing portfolios. Designer Brands exhibits very low volatility with skewness of 0.2 and kurtosis of 1.54. Understanding different market volatility trends often help investors to time the market. Properly using volatility indicators enable traders to measure Designer Brands' stock risk against market volatility during both bullish and bearish trends. The higher level of volatility that comes with bear markets can directly impact Designer Brands' stock 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 Designer Brands Demand TrendCheck current 90 days Designer Brands correlation with market (Dow Jones Industrial)Designer Beta |
Designer 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 | 4.0 |
It is essential to understand the difference between upside risk (as represented by Designer Brands's standard deviation) and the downside risk, which can be measured by semi-deviation or downside deviation of Designer Brands' daily returns or price. Since the actual investment returns on holding a position in designer 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 Designer Brands.
Designer Brands Stock Volatility Analysis
Volatility refers to the frequency at which Designer Brands stock price increases or decreases within a specified period. These fluctuations usually indicate the level of risk that's associated with Designer Brands' price changes. Investors will then calculate the volatility of Designer Brands' 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 Designer Brands' volatility:
Historical Volatility
This type of stock volatility measures Designer Brands' fluctuations based on previous trends. It's commonly used to predict Designer Brands' 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 Designer Brands' current market price. This means that the stock will return to its initially predicted market price. This type of volatility can be derived from derivative instruments written on Designer Brands' 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. Designer Brands 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.
Designer Brands Projected Return Density Against Market
Considering the 90-day investment horizon the stock has the beta coefficient of 1.0716 suggesting Designer Brands market returns are responsive to returns on the market. As the market goes up or down, Designer Brands 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 Designer Brands or Specialty Retail 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 Designer Brands' 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 Designer 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.
Designer Brands 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 |
What Drives a Designer Brands Price Volatility?
Several factors can influence a stock'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.Designer Brands Stock Risk Measures
Considering the 90-day investment horizon the coefficient of variation of Designer Brands is -581.72. The daily returns are distributed with a variance of 15.99 and standard deviation of 4.0. The mean deviation of Designer Brands is currently at 2.94. For similar time horizon, the selected benchmark (Dow Jones Industrial) has volatility of 0.75
α | Alpha over Dow Jones | -0.75 | |
β | Beta against Dow Jones | 1.07 | |
σ | Overall volatility | 4.00 | |
Ir | Information ratio | -0.19 |
Designer Brands Stock Return Volatility
Designer Brands historical daily return volatility represents how much of Designer Brands stock's daily returns swing around its mean - it is a statistical measure of its dispersion of returns. The firm has volatility of 3.9991% on return distribution over 90 days investment horizon. By contrast, Dow Jones Industrial accepts 0.7668% volatility on return distribution over the 90 days horizon. Performance |
| Timeline |
About Designer Brands Volatility
Volatility is a rate at which the price of Designer Brands 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 Designer Brands may increase or decrease. In other words, similar to Designer's beta indicator, it measures the risk of Designer Brands and helps estimate the fluctuations that may happen in a short period of time. So if prices of Designer Brands 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.| Last Reported | Projected for Next Year | ||
| Selling And Marketing Expenses | 176.4 M | 117.9 M | |
| Market Cap | 2.4 B | 1.5 B |
Designer Brands' 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 Designer Stock over a specified period of time, often expressed as the standard deviation of daily returns. In other words, it measures how much Designer Brands' price varies over time.
3 ways to utilize Designer Brands' volatility to invest better
Higher Designer Brands' stock volatility means that the price of its stock is changing rapidly and unpredictably, while lower stock volatility indicates that the price of Designer Brands 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. Designer Brands 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 Designer Brands investment. A higher volatility means higher risk and potentially larger changes in value.
- Identifying Opportunities: High volatility in Designer Brands' 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 Designer Brands' stock relates to your other investments can help you create a well-diversified portfolio of assets with varying levels of risk.
Designer Brands Investment Opportunity
Designer Brands has a volatility of 4.0 and is 5.19 times more volatile than Dow Jones Industrial. 35 percent of all equities and portfolios are less risky than Designer Brands. You can use Designer Brands to enhance the returns of your portfolios. The stock experiences a very speculative upward sentiment. Check odds of Designer Brands to be traded at $6.11 in 90 days.Modest diversification
The correlation between Designer Brands and DJI is 0.21 (i.e., Modest diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Designer Brands and DJI in the same portfolio, assuming nothing else is changed.
Designer Brands Additional Risk Indicators
The analysis of Designer Brands' 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 Designer Brands' investment and either accepting that risk or mitigating it. Along with some common measures of Designer Brands stock'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.
| Risk Adjusted Performance | (0.12) | |||
| Market Risk Adjusted Performance | (0.60) | |||
| Mean Deviation | 2.85 | |||
| Coefficient Of Variation | (602.15) | |||
| Standard Deviation | 3.91 | |||
| Variance | 15.27 | |||
| Information Ratio | (0.19) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential stocks, we recommend comparing similar stocks with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Designer Brands 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 Designer Brands 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. Designer Brands' 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, Designer Brands' 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 Designer Brands.
Complementary Tools for Designer Stock analysis
When running Designer Brands' price analysis, check to measure Designer Brands' 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 Designer Brands is operating at the current time. Most of Designer Brands' value examination focuses on studying past and present price action to predict the probability of Designer Brands' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Designer Brands' price. Additionally, you may evaluate how the addition of Designer Brands to your portfolios can decrease your overall portfolio volatility.
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