Time Scale Analysis of Interest Rate Spreads and Output Using Wavelets

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Time Scale Analysis of Interest Rate Spreads and Output Using Wavelets

This paper adds to the literature on the information content of different spreads for real activity by explicitly taking into account the time scale relationship between a variety of monetary and financial indicators (real interest rate, term and credit spreads) and output growth. By means of wavelet-based exploratory data analysis we obtain richer results relative to the aggregate analysis by ...

متن کامل

Interest rate spreads and output: A time scale decomposition analysis using wavelets

The information content of several interest rate spreads for future output growth is analyzed using wavelet analysis. The ‘‘scale-by-scale’’ regression analysis shows that standard indicators of the stance of monetary policy, such as the shape of the yield curve, the real federal funds rate, and the credit spread have different information content for future output at different time frames. Thi...

متن کامل

Interest rate and output gap: Does central bank credibility matter?

This paper studies the effects of central bank credibility on nominal interest rate and output gap on 17 inflation targeting (IT) developing countries using Instrument Variables (IV) over a period that spans 24 years (1996-2019). In the first stage, using new Keynesian model is obtained “Credibility loss” index to measure the importance of central bank past performance and its deviation from it...

متن کامل

Forecasting Growth of Australian Industrial Output Using Interest Rate Models

We examine the ability of short rates and yield spreads to forecast the growth in Australian industrial output. We find that since 1990, the short rate has a significant increase in its predictive power for forecasting output growth in many industries. We document this increase. The yield spread, on the other hand, is useful in predicting the growth of industries with a `longer' production cycl...

متن کامل

Using Wavelets and Splines to Forecast Non-Stationary Time Series

 This paper deals with a short term forecasting non-stationary time series using wavelets and splines. Wavelets can decompose the series as the sum of two low and high frequency components. Aminghafari and Poggi (2007) proposed to predict high frequency component by wavelets and extrapolate low frequency component by local polynomial fitting. We propose to forecast non-stationary process u...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Axioms

سال: 2013

ISSN: 2075-1680

DOI: 10.3390/axioms2020182