David McMillan

David McMillan

University of Stirling

H-index: 35

Europe-United Kingdom

About David McMillan

David McMillan, With an exceptional h-index of 35 and a recent h-index of 22 (since 2020), a distinguished researcher at University of Stirling, specializes in the field of Empirical Finance, Forecasting.

His recent articles reflect a diverse array of research interests and contributions to the field:

Lottery stocks in the UK: evidence, characteristics and cause

Left-tail risk and UK stock return predictability: Underreaction, overreaction, and arbitrage difficulties

Is the Stock-Bond Relation Positive Again?

The FED Model: Is it Still With Us?

Relative informative power and stock return predictability: a new perspective from Egypt

Capital structure and political connections: evidence from GCC banks and the financial crisis

Forecasting Realised Volatility Using Regime-Switching Models

Using interest rates to predict economic growth: Are corporate bonds better?

David McMillan Information

University

Position

___

Citations(all)

4464

Citations(since 2020)

1798

Cited By

3875

hIndex(all)

35

hIndex(since 2020)

22

i10Index(all)

113

i10Index(since 2020)

55

Email

University Profile Page

University of Stirling

Google Scholar

View Google Scholar Profile

David McMillan Skills & Research Interests

Empirical Finance

Forecasting

Top articles of David McMillan

Title

Journal

Author(s)

Publication Date

Lottery stocks in the UK: evidence, characteristics and cause

International Journal of Banking, Accounting and Finance

David McMillan

Dimos Kambouroudis

Maher Khasawneh

2022/10/13

Left-tail risk and UK stock return predictability: Underreaction, overreaction, and arbitrage difficulties

International Review of Financial Analysis

Maher Khasawneh

David G McMillan

Dimos Kambouroudis

2024/4/21

Is the Stock-Bond Relation Positive Again?

Available at SSRN 4792040

David G McMillan

2024/4/11

The FED Model: Is it Still With Us?

Available at SSRN 4362244

David G McMillan

2023/2/17

Relative informative power and stock return predictability: a new perspective from Egypt

Journal of Financial Reporting and Accounting

Enas Hendawy

David G McMillan

Zaki M Sakr

Tamer Mohamed Shahwan

2023/8/18

Capital structure and political connections: evidence from GCC banks and the financial crisis

International Journal of Emerging Markets

Fatma Ahmed

David G McMillan

2023/11/14

Forecasting Realised Volatility Using Regime-Switching Models

Available at SSRN 4415386

Yi Ding

Dimos S Kambouroudis

David G McMillan

2023

Using interest rates to predict economic growth: Are corporate bonds better?

International Journal of Finance & Economics

David G McMillan

2023/7/17

Stock Return Predictability: Evidence from Price-Dividend Components

Available at SSRN 4607183

David G McMillan

2023/10/19

Forward Premium Anomaly Resolved

Available at SSRN 4203434

Nilanjana Chakraborty

Mohammed Elgammal

David G McMillan

2023

Do extreme range estimators improve realized volatility forecasts? Evidence from G7 Stock Markets

Finance Research Letters

Burak Korkusuz

Dimos Kambouroudis

David G McMillan

2023/7/1

Oil price shocks and stock–bond correlation

The North American Journal of Economics and Finance

Salem Adel Ziadat

Abdel Razzaq A Al Rababa'a

Mobeen Rehman

David G McMillan

2023/9/1

Expected profitability, the 52-week high and the idiosyncratic volatility puzzle

The European Journal of Finance

Maher Khasawneh

David G McMillan

Dimos Kambouroudis

2023/9/22

The Predictive Power of the Oil Variance Risk Premium

Available at SSRN 4388909

David G McMillan

Salem Adel Ziadat

2023

Expectations Hypothesis Revisited

Available at SSRN 4412266

Nilanjana Chakraborty

Mohammed Elgammal

David G McMillan

2023/4/7

Do financial markets predict macroeconomic performance? US evidence from risk‐based measures

The Manchester School

David G McMillan

2023/9

Complex network analysis of volatility spillovers between global financial indicators and G20 stock markets

Empirical Economics

Burak Korkusuz

David G McMillan

Dimos Kambouroudis

2023/4

Do artificial neural networks provide improved volatility forecasts: Evidence from Asian markets

Journal of Economics and Finance

Mehmet Sahiner

David G McMillan

Dimos Kambouroudis

2023/9

Oil-stock nexus: The role of oil shocks for GCC markets

Studies in Economics and Finance

Salem Adel Ziadat

David G McMillan

2022/9/26

Relevance of Risk Factors

Available at SSRN 4452952

Nilanjana Chakraborty

Mohammed Elgammal

David G McMillan

2022/6/24

See List of Professors in David McMillan University(University of Stirling)