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Time series models : in econometrics, finance and other fields

Abstract
Statistical Aspects of ARCH and Scholastic Volatility Likelihood-Based Inference for Cointegration of Some Non-Stationary Time Series Forecasting in Macroeconomics Longitudinal Panel Data: An Overview of Current Methodology

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Autoregressive Conditional Tail Behavior and Results on Government Bond Yield Spreads

TL;DR: In this article, a fixed changepoint Pareto-type autoregressive conditional tail model is proposed to model the time-varying tail index of speculative return distributions.
Posted Content

Canonical Representation Of Option Prices and Greeks with Implications for Market Timing

TL;DR: In this paper, a canonical representation of call options is proposed, and a canonical polynomial representation theory of call option pricing convex in time to maturity, with coefficients based on observables in a subfield.
Journal ArticleDOI

Food price volatility effect of exchange rate volatility in nigeria

TL;DR: In this article, the authors investigated the volatility dynamics in food price index returns (FPIRETURNS), imported food prices index returns, price of dollars at bureau de change (BDCRETURNs), and inter-bank rate (EXRETURns) and found leverage effect and high persistence in some of the selected models.
Journal ArticleDOI

Semi-parametric estimation for ARCH models

TL;DR: In this paper, semi-parametric estimation for autoregressive conditional heteroscedasticity (ARCH) model with Quasi likelihood (QL) and Asymptotic Quasi-likelihood (AQL) estimation methods is conducted.

Can the Stock Market be Linearized

TL;DR: This work proposes to transform the problem into a more manageable setting such as the setting of linearity, and the issue of one-step-ahead prediction using the new approach is explicitly addressed.
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