Why Nokia Stock Swooned on Thursday - The Motley Fool

NOKIA Stock  EUR 4.18  0.01  0.24%   
Under 62% of Nokia Oyj's investor base is looking to short. The analysis of current outlook of investing in Nokia Oyj suggests that many traders are alarmed regarding Nokia Oyj's prospects. Nokia Oyj's investing sentiment shows overall attitude of investors towards Nokia Oyj.
  
Why Nokia Stock Swooned on Thursday The Motley Fool

Read at news.google.com
Google News at Macroaxis
  

Nokia Oyj Fundamental Analysis

We analyze Nokia Oyj's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Nokia Oyj using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Nokia Oyj based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.

Price To Earnings To Growth

Price To Earnings To Growth Comparative Analysis

Nokia Oyj is currently under evaluation in price to earnings to growth category among its peers. PEG Ratio indicates the potential value of an equity instrument and is calculated by dividing Price to Earnings (P/E) ratio into earnings growth rate. Most analysts and investors prefer this measure to a Price to Earnings (P/E) ratio because it incorporates the future growth of a firm. The low PEG ratio usually implies that an equity instrument is undervalued; whereas PEG of 1 may indicate that an equity is reasonably priced under given expectations of future growth.

Nokia Oyj Potential Pair-trading

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Nokia Oyj stock to make a market-neutral strategy. Peer analysis of Nokia Oyj could also be used in its relative valuation, which is a method of valuing Nokia Oyj by comparing valuation metrics with similar companies.

Complementary Tools for Nokia Stock analysis

When running Nokia Oyj's price analysis, check to measure Nokia Oyj'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 Nokia Oyj is operating at the current time. Most of Nokia Oyj's value examination focuses on studying past and present price action to predict the probability of Nokia Oyj's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Nokia Oyj's price. Additionally, you may evaluate how the addition of Nokia Oyj to your portfolios can decrease your overall portfolio volatility.
Portfolio File Import
Quickly import all of your third-party portfolios from your local drive in csv format
Equity Valuation
Check real value of public entities based on technical and fundamental data
Portfolio Holdings
Check your current holdings and cash postion to detemine if your portfolio needs rebalancing
Piotroski F Score
Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals
Balance Of Power
Check stock momentum by analyzing Balance Of Power indicator and other technical ratios
AI Portfolio Architect
Use AI to generate optimal portfolios and find profitable investment opportunities
Fundamental Analysis
View fundamental data based on most recent published financial statements
Performance Analysis
Check effects of mean-variance optimization against your current asset allocation
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm