scholarly journals The Status Quo and Analysis of Residents’ Financial Management — Taking Guangdong as an Example

Author(s):  
Yu Zeng
WARTA ARDHIA ◽  
2012 ◽  
Vol 37 (2) ◽  
pp. 143-163
Author(s):  
Tiarto Tiarto

Currently, the STPI is in stagnant condition or status quo to be a Public Service Agency. This paper is intended for those who feel disturbed by this fact, and have concern for the STPI.Some problems: achievement cadets who decline, low quality but the quantity of excess human resources, education systems, curricula, low reward / low salaries, expenditures per student is high, crowded dormitories, degree requirements, marketing graduates, competency standards / certification, accreditation, Research and Community Service (PPM) which does not fit with the mission, training co-operation contracts with third parties, outsourcing and so on.It all resulted in efficiency, effectiveness, productivity and low yields, thus the need for reform toward a more entrepreneurial way STPI bureaucracy, and fortunately with a strong new leadership of the Chairman with the spirit of high entrepreneur, STPI want to build a center for human flight (center of excellence human resources development for aviation), including the urgent need to change the status of a Pattern of Financial Management of Public Service Agency.


2021 ◽  
Vol 7 (5) ◽  
pp. 4829-4839
Author(s):  
Xiaodong Wang ◽  
Ying Zhao ◽  
Yuegang Song ◽  
Hongliang Wang

Objectives: In day-to-day operation and management activities, attention is paid to preventing and controlling financial risks, which will prevent risks or minimize losses. Methods: The current state of financial management in companies is analyzed, and then how to effectively prevent and promote measures is systematically discussed. Results: Firstly, a multi-fractal spectrum program design algorithm is constructed and multi-fractal spectrum analysis and feature derivations are carried out. Then, several companies are selected as research objects, and the financial management of the company’s operations and stock price changes and tests are simulated. Conclusion: It can be seen that the algorithm constructed in this paper can predict the stock price through the shape of the bell-shaped spectrum and has high accuracy.


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