http://bura.brunel.ac.uk/handle/2438/13030 2026-06-01T03:54:10Z 2026-06-01T03:54:10Z Karim, D Davis, EP http://bura.brunel.ac.uk/handle/2438/33300 2026-05-16T02:00:27Z 2026-01-01T00:00:00Z

Title: HOUSING MARKETS AND AGEING – DYNAMICS AND POLICY ISSUES Authors: Karim, D; Davis, EP Abstract: ... Description: JEL Classification: J1, G5, R31.

2026-01-01T00:00:00Z Haboub, A Kartsaklas, A Sarafidis, V http://bura.brunel.ac.uk/handle/2438/33169 2026-04-25T10:37:48Z 2026-04-21T00:00:00Z

Title: Residual Income Valuation and Stock Returns: Evidence From a Value-to-Price Investment Strategy Authors: Haboub, A; Kartsaklas, A; Sarafidis, V Abstract: This paper contributes to the accounting and asset pricing anomalies literature by investigating the performance of value-to-price (V/P) strategies, and the relationship between V/P ratio and various risk proxies. If the V/P ratio successfully predicts future returns at stock level, we hypothesize that portfolios based on the V/P ratio generate excess returns and consist of companies that are undervalued for extended periods. Both overlapping and non-overlapping returns are used to test the risk/mispricing explanation of the V/P strategy. Results for the US market show that high V/P portfolios outperform low V/P portfolios across horizons extending from 1 to 3 years. The V/P ratio is positively correlated to future stock returns after controlling for firm characteristics, which are well-known risk proxies. Findings also indicate that profitability and investment add explanatory power to the Fama–French three-factor model and for stocks with V/P ratio close to 1. However, these factors cannot explain all variation in excess returns especially for Years 2 and 3 and for stocks with high V/P ratios. Finally, portfolios with the highest V/P stocks select companies that are significantly mispriced relative to their equity (investment) and profitability growth persistence in the future. Description: JEL classification: G11, G12, G14.

2026-04-21T00:00:00Z Asimakopoulos, S Lalik, M Paredes, J García, JS http://bura.brunel.ac.uk/handle/2438/33004 2026-03-19T03:00:11Z 2026-01-01T00:00:00Z

Title: GDP Revisions are Not Cool: The Impact of Statistical Agencies’ Trade-Off Authors: Asimakopoulos, S; Lalik, M; Paredes, J; García, JS Abstract: Official estimates of economic growth are regularly revised and therefore forecasts for GDP growth are done on the basis of ever-changing data. The economic literature has intensively studied the properties of those revisions and their implications for forecasting models. However, it is much less known about the reasons for Statistical Agencies (SAs) to revise their estimates. In order to be timely and reliable, SAs have an explicit interest in not revising their initial GDP estimates too much, while they are much more open to revise GDP components over time. More than a curiosity, we exploit this resulting cross-correlation of GDP components revisions to build a model to better forecast GDP. Description: JEL Classification: C01, C82, E01.; A working paper version of the article is available at ECB (https://www.ecb.europa.eu/pub/pdf/scpwps/ecb.wp2857~073085df17.en.pdf) and at SSRN (Asimakopoulos, Stylianos and Lalik, Magdalena and Paredes, Joan and García, José Salvado, GDP Revisions are Not Cool: The Impact of Statistical Agencies’ Trade-Off (October, 2023). ECB Working Paper No. 2023/2857, Available at SSRN: https://ssrn.com/abstract=4618392 or http://dx.doi.org/10.2139/ssrn.4618392). It has not been certified by peer review.

2026-01-01T00:00:00Z Asimakopoulos, S Kapetanios, G Sarafidis, V Ventouri, A http://bura.brunel.ac.uk/handle/2438/32965 2026-05-28T15:15:48Z 2026-01-01T00:00:00Z

Title: Network Effects in Corporate Emissions: Evidence from a Data-Dependent Spatial Panel Model Authors: Asimakopoulos, S; Kapetanios, G; Sarafidis, V; Ventouri, A Abstract: ... Description: A preprint version of the article is available at (https://arxiv.org/abs/2602.21434). It has not been certified by peer reviw.

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