本文選題：銀行特征 + 貨幣政策�。� 參考：《華中科技大學(xué)》2013年碩士論文

【摘要】：目前，我國進行宏觀經(jīng)濟調(diào)控的重要途徑是調(diào)節(jié)銀行信貸規(guī)模，而銀行信貸渠道正是一種典型的貨幣政策信用傳導(dǎo)機制。銀行的信貸反應(yīng)指商業(yè)銀行在面對貨幣政策變化的沖擊時，所作出的信貸增發(fā)或收緊等行為。以往在研究貨幣政策信貸傳導(dǎo)時，，大多集中于分析貨幣政策沖擊對全社會及整個銀行業(yè)信貸水平的影響，這當(dāng)中隱含了各家銀行具有同質(zhì)性的假設(shè)。然而我國銀行業(yè)結(jié)構(gòu)具有明顯的兩極分化特征，不同規(guī)模、不同盈利能力和資產(chǎn)狀況的銀行對貨幣政策作出的反應(yīng)不盡相同，這需要從微觀層面上按照銀行自身特征進行區(qū)分，以研究不同銀行對貨幣政策信貸傳導(dǎo)機制的影響。 本文采用非線性回歸中的門限面板模型，搜集我國目前16家上市銀行2005—2012年間發(fā)放貸款情況和自身特征的數(shù)據(jù)，來分析我國銀行在面對貨幣政策沖擊時，其信貸反應(yīng)是否受到銀行自身微觀特征的影響，從而使信貸傳導(dǎo)效應(yīng)具有非線性。本文以M2增速作為貨幣政策代理變量，分別使用反映銀行規(guī)模特征的資產(chǎn)總額、代表銀行盈利能力的利潤增長率，和反映銀行資產(chǎn)安全性與資本水平特征的不良貸款率和資本充足率作為門限變量進行回歸。實證研究發(fā)現(xiàn)，銀行的規(guī)模、盈利能力和不良貸款率使貨幣政策傳導(dǎo)具有明顯的門限效應(yīng)，資本充足率的門限效應(yīng)不明顯。其中，規(guī)模特征和盈利能力的門限值恰好將16家銀行區(qū)分為工商、建設(shè)、農(nóng)業(yè)、中國四大銀行和其他中小商業(yè)銀行兩組，兩個體制內(nèi)銀行的信貸行為對貨幣政策沖擊的反應(yīng)程度不同。在本文所采用的樣本期內(nèi)，規(guī)模更大、盈利能力更強、不良貸款率更低的銀行對這幾年內(nèi)央行頻繁的貨幣調(diào)控措施反應(yīng)更加靈敏。 本文從我國特殊的銀企關(guān)系、貨幣政策的風(fēng)險承擔(dān)渠道和特殊的樣本期等角度嘗試對實證結(jié)果作出解釋，并提出相關(guān)的政策建議。
[Abstract]:At present, the important way of macro-economic regulation in China is to regulate the scale of bank credit, and the bank credit channel is a typical credit transmission mechanism of monetary policy. The credit response of banks refers to the credit issuance or tightening of commercial banks in the face of the impact of monetary policy changes. In the past, the study of monetary policy credit transmission mostly focused on the analysis of the impact of monetary policy shocks on the whole society and the whole banking credit level, which implied the assumption that each bank has homogeneity. However, the banking structure of our country has the obvious polarization characteristic, the different scale, the different profit ability and the asset condition bank makes the different response to the monetary policy, which needs to distinguish from the microscopic level according to the bank own characteristic. In order to study the impact of different banks on the monetary policy credit transmission mechanism. In this paper, the threshold panel model of nonlinear regression is used to collect the data of the loans issued by 16 listed banks in China from 2005 to 2012 and their own characteristics to analyze the impact of monetary policy on the banks in our country. Whether the credit response is influenced by the microcosmic characteristics of the bank makes the credit conduction effect nonlinear. In this paper, M2 growth rate is taken as the monetary policy agent variable, and the total assets reflecting the characteristics of the bank's size are used to represent the profit growth rate of the bank's profitability. And the non-performing loan ratio and capital adequacy ratio, which reflect the characteristics of bank asset security and capital level, are used as threshold variables for regression. The empirical study shows that the size of banks, profitability and non-performing loan ratio make the transmission of monetary policy have obvious threshold effect, but the threshold effect of capital adequacy ratio is not obvious. Among them, the threshold values for scale characteristics and profitability exactly divide 16 banks into two groups: industry and commerce, construction, agriculture, China's four largest banks and other small and medium-sized commercial banks. The credit behavior of banks in the two systems is different in response to the impact of monetary policy. In the sample period used in this paper, the scale is larger, the profitability is stronger, and the banks with lower non-performing loan ratio are more sensitive to the central bank's frequent monetary control measures in the past few years. This paper tries to explain the empirical results from the perspective of the special relationship between banks and enterprises, the risk-bearing channels of monetary policy and the special sample period, and puts forward some relevant policy recommendations.
【學(xué)位授予單位】：華中科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：F822.0;F832.4

【相似文獻】

相關(guān)期刊論文 前10條

1 闕方平,李明理;論金融監(jiān)管對貨幣政策的支撐與抑制[J];財貿(mào)經(jīng)濟;2000年07期

2 喬清彥;論我國貨幣政策工具的選擇及對策[J];工業(yè)技術(shù)經(jīng)濟;2000年01期

3 郭中海,李利英;制約我國貨幣政策的因素及對策建議[J];金融理論與實踐;2000年02期

4 王自力;論改革與發(fā)展中的有效貨幣政策[J];南方經(jīng)濟;2000年11期

5 王明津;用鄧小平的金融觀點看我國目前的貨幣政策[J];上海金融;2000年05期

6 王錦煜,徐宏;實施貨幣政策央行基層行大有可為[J];上海金融;2000年07期

7 戴相龍;繼續(xù)實行穩(wěn)健的貨幣政策[J];中國金融;2000年10期

8 陳永明;推行區(qū)域貨幣政策是實施西北大開發(fā)戰(zhàn)略的現(xiàn)實選擇[J];甘肅金融;2000年05期

9 ;繼續(xù)執(zhí)行穩(wěn)健的貨幣政策[J];黑龍江金融;2000年08期

10 陳炳才;對我國貨幣政策一些問題的思考[J];海南金融;2000年08期

相關(guān)會議論文 前10條

1 張帥;徐長生;;貨幣狀況指數(shù):我國貨幣政策的信息指示器[A];2009年全國博士生學(xué)術(shù)會議論文集[C];2009年

2 高珂;時光;;2008年我國貨幣政策出現(xiàn)倒‘V’型轉(zhuǎn)變原因淺析[A];中國會計學(xué)會審計專業(yè)委員會2010年學(xué)術(shù)年會論文集[C];2010年

3 許晉波;;新時期我國的貨幣政策[A];論中國式的社會主義現(xiàn)代化[C];2002年

4 徐洪才;;2012年貨幣政策及金融改革展望[A];中國經(jīng)濟年會（2011-2012）會刊[C];2012年

5 李

本文編號：2101455