A System-Level Analysis of Possibilities for Developing a Multi-Position Space-Coherent Radar (Radio Holographic) System. Synchronization (Phasing) of Antenna Positions. Preliminary Adjustments of Common Antenna. Determination of Number of Positions

2001 ◽  
Vol 55 (2) ◽  
pp. 13
Author(s):  
N. I. Matyukhin
Keyword(s):  
System Level ◽  
Position Space ◽  
System Synchronization ◽  
Coherent Radar ◽  
Level Analysis

On-Site Renewable Energy and Green Buildings: A System-Level Analysis

2016 ◽  
Vol 50 (9) ◽  
pp. 4606-4614 ◽  
Author(s):  
Sami G. Al-Ghamdi ◽  
Melissa M. Bilec
Keyword(s):  
Renewable Energy ◽  
Green Buildings ◽  
System Level ◽  
Level Analysis

scholarly journals System-Level Analysis of Heterogeneous Networks Under Imperfect Traffic Hotspot Localization

2016 ◽  
Vol 65 (12) ◽  
pp. 9862-9872 ◽  
Author(s):  
Aymen Jaziri ◽  
Ridha Nasri ◽  
Tijani Chahed
Keyword(s):  
Heterogeneous Networks ◽  
System Level ◽  
Level Analysis

Fused Silica Final Optics for Inertial Fusion Energy: Radiation Studies and System-Level Analysis

2003 ◽  
Vol 43 (4) ◽  
pp. 540-558 ◽  
Author(s):  
Jeffery F. Latkowski ◽  
Alison Kubota ◽  
Maria J. Caturla ◽  
Sham N. Dixit ◽  
Joel A. Speth ◽  
...  
Keyword(s):  
Fusion Energy ◽  
Fused Silica ◽  
System Level ◽  
Inertial Fusion ◽  
Inertial Fusion Energy ◽  
Energy Radiation ◽  
Level Analysis

System Level Analysis of OFDMA-Based Networks in TV White Spaces

2011 ◽  
pp. 209-238 ◽  
Author(s):  
Przemysław Pawełczak ◽  
Jihoon Park ◽  
Danijela Čabrić ◽  
Pål Grønsund
Keyword(s):  
System Level ◽  
Tv White Spaces ◽  
White Spaces ◽  
Level Analysis

scholarly journals Using Piotroski F-Score for Assessing Financial Health: Evidence from Leading Indian Private Banks

2021 ◽  
Vol 8 (S1-Feb) ◽  
pp. 117-132
Author(s):  
S Rangapriya ◽  
J Meenakumari
Keyword(s):  
Financial Distress ◽  
Investment Decision ◽  
Relative Strength ◽  
Valuable Insight ◽  
Financial Health ◽  
Investment Decision Making ◽  
Financial Strength ◽  
Private Banks ◽  
Level Analysis

This research investigates the efficacy of Piotroski F-score to screen firms with good financial health and to identify early signs of financial distress in Indian banking stocks. This study complements existing empirical evidence which indicate that the venerable model can provide valuable insight for investment decision making and risk management.The evidence is drawn from valuation signals across leading private banks in India for a period ranging from 2014-2020. Piotroski F-score evaluates companies with a discrete number between zero and nine, the score facilitates determination of financial strength of the company. Higher score indicates better financial health and viceversa. The F-score is calculated as a sum of criteria which evaluates profitability signals, leverage and liquidity, sources of funds and operating efficiencies. In this study, each of these ratios have been analyzed to gain valuable insight on the banks (company-level). Analysis of Variance (ANOVA) of various ratios, ascertains intensity of relationship across banks (industry-level). This can help manage exposure in the portfolio as per the economic environment.The Piotroski F-score evaluates the generic financial health of the firm and indicates the direction in which the firm is headed. By studying individual factors, relative strength can be assessed. Piotroski F-score ranged between 0-7 for all the banks under study, indicating that none of them were a ‘compellingbuy’ (score 8 or 9) over the seven-year horizon. Some banks have consistently shown depleting F-score over at least 3 years, this can be interpreted as a signal of financial distress. It is evident that consistent monitoring of F-score empowers pro-active risk management.This work attempts to introduce Piotroski F-score as an integral valuation metric in evaluating Indian banking stocks. F-score can be used for initial screening, it’s consistent monitoring can facilitate optimized returns at risk-adjusted levels.

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