标题: | Lotka-Volterra模型于台资银行大陆分行营收分析 Analyzing Operational Revenues of Taiwanese Banks in China by the Lotka-Volterra Model |
作者: | 庄仕文 Chuang,Shih-Wen 蔡璧徽 管理科学系所 |
关键字: | Lotka-Volterra 模型;金融;均衡;精确度;中国;Lotka-Volterra model;Banking;Equilibrium;Forecast Accuracy;China |
公开日期: | 2015 |
摘要: | 本研究系以Lotka-Volterra模型探讨台资银行赴大陆投资发展策略,比较官股银行以及非官股银行至大陆投资的动态竞合关系。其中官股银行定义有至大陆设分行且曾为台湾政府百分之百持股之银行,其余定义为非官股银行。本研究系以台资银行赴中国大陆设立分行之利息收入以及手续费收入测试官股银行以及非关股银行使否存在着竞争或猎食与猎物者的关系,并且对于官股以及非官股银行预测未来关系是否存在着均衡,最后,除了本研究所提出的Lotka-Volterra模型进行预测,还会运用Bass模型进行预测,且比较两模型何者较能精确的预测台资银行赴中国大陆投资。 本研究结果显示出,在利息收入部分,官股银行会帮助非官股银行成长,但是非官股银行并不会帮助官股银行成长。其原因可能为银行业利息收入主要来源为企业放款,而官股银行较早进入大陆市场布局从事放款,取得利息收入后,激励非官股银行有信心跟进在中国设分行进行贷款,或扩大贷款授信额度。在手续费收入部分,而台资银行在中国设立分行所收的手续费,包括承兑手续费以及保管手续费,官股与非官股银行手续费互相增长的情况,代表台湾官股银行在中国大陆分行从事的服务愈多,手续费越高,会促成台湾非官股银行在中国大陆分行从事的服务愈多,手续费因而提升。自两岸金融开放以来,台资银行持续在中国设立分行,本研究以Lotka-Volterra模型探究官股银行以及非官股银行赴中国利息收入与手续费收入间的关系,提供海峡两岸政府金融管理的参考。本研究均衡分析的结果显示在利息收入方面,官股银行和非官股银行会收敛到333.2和122.6,官股银行的均衡解约为非官股银行的三倍。而手续费收入方面,官股银行和非官股银行会收敛到26.2和6.1,官股银行的均衡解约为非官股银行的四倍,说明官股银行和非官股银行大陆分行在长期竞合下,将会达到稳定均衡的状态。精确度分析的结果显示本研究所采用的Lotka-Volterra模型准确度比Bass模型准确度来得精确。 This study employs Lotka-Volterra model to analyze the competitive operational relations of Chinese branches between government-owned-banks and non-government-owned-banks. Two pairs of Lotka-Volterra equations are estimated in this work. One pair is the interest revenues of government-owned-banks and non-government-owned-banks. The other pair is the commission revenues of government-owned-banks and non-government-owned-banks from the Chinese branches of Taiwanese Banks. The estimation parameter result shows that the interest revenues from government-owned-banks will enhance those of non-government-owned-banks. This implies that the early entry of Taiwanese government-owned-banks into the mainland China. After government-owned-banks set up branches in China and offer loans to receive interest revenues, non-government-owned-banks follow government-owned-banks to set up branches in China and earn interest revenues. On the other hand, the results of parameter estimation show the commission revenues of government-owned-bank enhance the commission revenues of non-government-owned-bank, and vice versa. Regarding model’s forecast accuracy, the Lotka-Volterra model is more accurate than the Bass model in predicting interest revenues and commission revenues. In the long run, both the interest and commission revenues of government-owned-banks and non-government-owned-banks will reach a stable equilibrium. This study contributes to Taiwan’s and China’s governments the effective methods to measure the competition and cooperation in banking industry. |
URI: | http://140.113.39.130/cdrfb3/record/nctu/#GT070253122 http://hdl.handle.net/11536/125784 |
显示于类别: | Thesis |