本文的研究目的為，在一個包含銀行部門的動態隨機一般均衡模型的架構中，探討流動性覆蓋比率限制在利率的信用管道中所扮演的角色以及其對政體經濟的影響為何。在銀行的資產配置決策內生的情形下，加入流動性覆蓋比率的限制，透過放款的勞動成本與抵押品價值來刻畫金融摩擦；本文發現當經濟體系遭受生產與放款的外生衝擊時，流動性覆蓋比率的限制會增強政策利率的信用管道效果，並且相較於無流動性覆蓋比率限制之模型而言，具流動性覆蓋比率限制的模型，其銀行資產配置的變動幅度與金融摩擦的程度皆較大。 / The main purpose of this paper is to explore the role of the liquidity coverage ratio (LCR) in the credit channel and how it influences the overall economy in a dynamic stochastic general equilibrium (DSGE) model with banking sector. Commercial banks endogenously choose their optimal portfolio of assets under the liquidity coverage ratio restriction. On the other hand, we describe the financial friction through the labor cost of making loans and collateral value. We find that when the economy is exposed to exogenous shocks in production and lending, the liquidity coverage ratio will enhance the effect of credit channel. Compared with the model with no LCR restriction, the degree of change of the bank asset allocation and the financial friction are larger in the model with LCR restriction.

Thesis focus on derivation of macro-finance model for analysis of yield curve and its dynamics using macroeconomic factors. Underlying model is based on basic Dynamic Stochastic General Equilibrium DSGE approach that stems from Real Business Cycle theory and New Keynesian Macroeconomics. The model includes four main building blocks: households, firms, government and central bank. Log-linearized solution of the model serves as an input for derivation of yield curve and its main determinants -- pricing kernel, price of risk and affine term structure of interest rates -- based on no-arbitrage assumption. The Thesis shows a possible way of consistent derivation of structural macro-finance model, with reasonable computational burden that allows for time varying term premia. A simple VAR model, widely used in macro-finance literature, serves as a benchmark. The paper also presents a brief comparison and shows an ability of both models to fit an average yield curve observed from the data. Lastly, the importance of term structure analysis is demonstrated using case of Central Bank deciding about policy rate and Government conducting debt management.