Protection against inflation is an essential part of the today&#039 / s financial markets, particularly in high-inflation economies. Hence, nowadays inflation indexed instruments are being increasingly popular in the world financial markets. In this thesis, we focus on pricing of the inflation-indexed bonds which are the unique inflation-indexed instruments traded in the Turkish bond market. Firstly, we review the Jarrow-Yildirim model which deals with pricing of the inflation-indexed instruments within the HJM framework. Then, we propose a pricing model that is an extension of the Jarrow-Yildirim model. The model allows instantaneous forward rates, inflation index and bond prices to be driven by both a standard Brownian motion and a finite number of Poisson processes. A closed-form pricing formula for an European call option on the inflation index is also derived.

本文以完全規避通膨風險債券資產為評價基礎，推導出三因子實質消費資本資產訂價模型與s+4共同基金定理。三因子分別為實質消費成長因子、消費習慣因子以及情緒性預期偏差因子。情緒性三因子實證部份，橫斷面報酬模型平均解釋力約有61.79%，此實證結果顯示傳統消費資本資產訂價模型中訂價績效表現不佳，是忽略部份重要因素所致。 s+4共同基金為完全規避通膨風險債券資產、投機性巿場投資組合、s個規避實質狀態變數不利於投資機會集合變動之巿場投資組合、規避情緒性預期偏差風險的共同基金以及維持未來整體生活消費型態的共同基金。這之中完全規避通膨風險債券資產可減少巿場共同基金數目和降低交易成本之實質效果。 / This thesis derives an inter-temporal asset pricing model in a real-term, continuous-time model with uncertain consumption-goods prices and uncertain investment opportunity. When the inflation-indexed securities are available, a three-factor asset pricing model is derived in terms of real consumption growth, consumption-habit variation, and inflation rate change (or sentimental inflation expectation). Empirical results suggest that the derived asset pricing model in real framework can explain above a 60% of the variation in asset returns. Under the real framework, we demonstrate that s+4 fund separation applies. These funds may be chosen to be: (1) the instantaneously inflation-indexed bond, (2) the market portfolio, (3) the sentimental inflation-related asset, (4) the consumption habit-related asset, and (5) the s portfolios having the high correlations, respectively, with the s state variables.