Killam Apartment Real Stock Price Prediction
KMP-UN Stock | CAD 18.36 0.04 0.22% |
Oversold Vs Overbought
33
Oversold | Overbought |
Quarterly Earnings Growth (0.09) | EPS Estimate Current Year 2.83 | EPS Estimate Next Year 1.24 | Wall Street Target Price 23 | Quarterly Revenue Growth 0.049 |
Using Killam Apartment hype-based prediction, you can estimate the value of Killam Apartment Real from the perspective of Killam Apartment response to recently generated media hype and the effects of current headlines on its competitors.
The fear of missing out, i.e., FOMO, can cause potential investors in Killam Apartment to buy its stock at a price that has no basis in reality. In that case, they are not buying Killam because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Killam Apartment after-hype prediction price | CAD 18.36 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Killam |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Killam Apartment'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.
Killam Apartment After-Hype Price Prediction Density Analysis
As far as predicting the price of Killam Apartment at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Killam Apartment or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Killam Apartment, with the unreliable approximations that try to describe financial returns.
Next price density |
Expected price to next headline |
Killam Apartment Estimiated After-Hype Price Volatility
In the context of predicting Killam Apartment's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Killam Apartment's historical news coverage. Killam Apartment's after-hype downside and upside margins for the prediction period are 17.26 and 19.46, respectively. We have considered Killam Apartment's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Killam Apartment is very steady at this time. Analysis and calculation of next after-hype price of Killam Apartment Real is based on 3 months time horizon.
Killam Apartment Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Killam Apartment is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Killam Apartment backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Killam Apartment, there might be something going there, and it might present an excellent short sale opportunity.
Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.13 | 1.10 | 0.01 | 0.00 | 3 Events / Month | 1 Events / Month | In about 3 days |
Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
18.36 | 18.36 | 0.00 |
|
Killam Apartment Hype Timeline
Killam Apartment Real is now traded for 18.36on Toronto Exchange of Canada. The entity has historical hype elasticity of -0.01, and average elasticity to hype of competition of 0.0. Killam is projected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is projected to be very small, whereas the daily expected return is now at -0.13%. %. The volatility of related hype on Killam Apartment is about 18333.33%, with the expected price after the next announcement by competition of 18.36. About 40.0% of the company shares are owned by institutional investors. The company has price-to-book ratio of 0.8. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Killam Apartment Real last dividend was issued on the 29th of November 2024. The entity had 1:4 split on the 24th of May 2007. Assuming the 90 days trading horizon the next projected press release will be in about 3 days. Check out Killam Apartment Basic Forecasting Models to cross-verify your projections.Killam Apartment Related Hype Analysis
Having access to credible news sources related to Killam Apartment's direct competition is more important than ever and may enhance your ability to predict Killam Apartment's future price movements. Getting to know how Killam Apartment's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Killam Apartment may potentially react to the hype associated with one of its peers.
HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
IIP-UN | InterRent Real Estate | 0.17 | 2 per month | 0.00 | (0.30) | 2.26 | (2.44) | 6.84 | |
CAR-UN | Canadian Apartment Properties | (0.34) | 2 per month | 0.00 | (0.26) | 1.76 | (1.85) | 6.21 | |
GRT-UN | Granite Real Estate | 0.37 | 2 per month | 0.00 | (0.12) | 1.84 | (1.90) | 4.78 | |
CRR-UN | Crombie Real Estate | (0.01) | 4 per month | 0.00 | (0.15) | 1.61 | (1.50) | 5.41 | |
DIR-UN | Dream Industrial Real | (0.16) | 3 per month | 0.00 | (0.21) | 2.01 | (1.76) | 6.18 |
Killam Apartment Additional Predictive Modules
Most predictive techniques to examine Killam price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Killam using various technical indicators. When you analyze Killam charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
About Killam Apartment Predictive Indicators
The successful prediction of Killam Apartment stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Killam Apartment Real, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Killam Apartment based on analysis of Killam Apartment hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Killam Apartment's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Killam Apartment's related companies. 2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.0196 | 0.0305 | 0.0262 | 0.0474 | Price To Sales Ratio | 9.04 | 5.89 | 6.23 | 4.18 |
Story Coverage note for Killam Apartment
The number of cover stories for Killam Apartment depends on current market conditions and Killam Apartment's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Killam Apartment is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Killam Apartment's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios
Story Categories
Currently Trending Categories
Killam Apartment Short Properties
Killam Apartment's future price predictability will typically decrease when Killam Apartment's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Killam Apartment Real often depends not only on the future outlook of the potential Killam Apartment's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Killam Apartment's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding | 121.7 M | |
Cash And Short Term Investments | 14.1 M |
Complementary Tools for Killam Stock analysis
When running Killam Apartment's price analysis, check to measure Killam Apartment'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 Killam Apartment is operating at the current time. Most of Killam Apartment's value examination focuses on studying past and present price action to predict the probability of Killam Apartment's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Killam Apartment's price. Additionally, you may evaluate how the addition of Killam Apartment to your portfolios can decrease your overall portfolio volatility.
Portfolio Holdings Check your current holdings and cash postion to detemine if your portfolio needs rebalancing | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities | |
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
Portfolio Center All portfolio management and optimization tools to improve performance of your portfolios | |
Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
Companies Directory Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals | |
Insider Screener Find insiders across different sectors to evaluate their impact on performance |