Estimation on Dynamic Correlations Among Foreign Reserve Growing, Liquidity Shock and Stock Market Fluctuation in China

Wang, Yongmao

doi:10.1109/bwcca.2014.132

Cited by 2 publications

(3 citation statements)

References 3 publications

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“…To successfully and reasonably identify the liquidity variables, the search ultimately identifies the fundamental financial component and the factor impacting the Liquidity concerning the liquidity crisis. It also considers their efficacy and significance in doing so [52]. This research discovered a trustworthy source of Liquidity with the aid of numerous financial aspects based on the most recent matching findings, which is highly fertile ground for future study.…”

Section: Bipartite Graph-based Approachmentioning

confidence: 85%

“…Whenever a process is compared with its low latency or lower Consistency index where the Calculator concerning the allowable leverages, when the leverage value reaches the maximum 82%, will adopt all 200%, 80%, 75%, 70%, and 20% leverages. Once the leverage value gets 20% leverage, the consistency index will be low; otherwise, if the leverage value is 200%, this time also so, the consistency index will be low [28][51] [52]. Because that trade among the forest position change where remains same.…”

Section: Allowable Leveragementioning

confidence: 99%

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Making Impact on Common Financial Factors Affecting Liquidity Ratio Based on Greedy Approach Through Price Movement in Stock Market

Prakash

Krishnaprabha²,

Sundararajan

2023

Preprint

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This research article focused on discovering appropriate liquidity risk concerns in the financial Sector. Primarily, it deals with the appropriate liquidity factors that affect financial performance services pertained to several liquidity crises and the respective liquidity measures. Liquidity is considered the primary constraint. The Liquidity Ratios are the defective condition of calculating the financial performance services and their respective status. For fulfilling this performance service status prediction, this research use calculation for consistency index procedure. Liquidity index-based predictions have collaborated concerning the price movement in the stock market. The Liquidity will affect the trading and market transparency whenever the price moment varies. To control this trading and not market transparency of liquidity index be employed the greedy approach for estimating the most factor affected by the liquid index. Hence, this research elaborates on the greedy approach today with 25 essential financial factors. Each Panther will have combined with the tractor-confirmed liquidity crisis whenever the factors of liquidity crisis are combined with the actual financial factor, the minimum and maximum Degree of matching are calculated. This calculation determines the factors that affected the Liquidity concerning their exact, Plugin, subsume, and fail condition. Eventually, the search concludes the determination of factors affecting Liquidity concerning the actual finance factor and liquidity crisis. Finally, the result was concluded with the Degree of matching and their efficiency of finding liquidity factors with a successful reasonable result. Based on the Degree of matching result, this research found the actual reason for Liquidity with the help of various financial factors.

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Section: Bipartite Graph-based Approachmentioning

confidence: 85%

Section: Allowable Leveragementioning

confidence: 99%