Labor hiring, investment and stock return predictability in the cross section

We document that the firm level hiring rate predicts stock returns in the cross-section of US publicly traded firms even after controlling for investment, size, book-to-market and momentum as well as other known predictors of stock returns. The predictability shows up in both Fama-MacBeth cross sectional regressions and in portfolio sorts and it is robust to the exclusion of micro cap firms from the sample. We propose a production-based asset pricing model with adjustment costs in labor and capital that replicates the main empirical findings well. Labor adjustment costs makes hiring decisions forward looking in nature and thus informative about the firms’ expectations about future cash-flows and risk-adjusted discount rates. The model implies that the investment rate and the hiring rate predicts stock returns because these variables proxy for the firm’s time-varying conditional beta

Accounting for decarbonisation and reducing capital at risk in the S&P500

This document is the Accepted Manuscript version of the following article: Colin Haslam, Nick Tsitsianis, Glen Lehman, Tord Andersson, and John Malamatenios, ‘Accounting for decarbonisation and reducing capital at risk in the S&P500’, Accounting Forum, Vol. 42 91): 119-129, March 2018. Under embargo until 7 August 2019. The final, definitive version is available online at doi: https://doi.org/10.1016/j.accfor.2018.01.004.This article accounts for carbon emissions in the S&P 500 and explores the extent to which capital is at risk from decarbonising value chains. At a global level it is proving difficult to decouple carbon emissions from GDP growth. Top-down legal and regulatory arrangements envisaged by the Kyoto Protocol are practically redundant given inconsistent political commitment to mitigating global climate change and promoting sustainability. The United Nations Environment Programme (UNEP) and European Commission (EC) are promoting the role of financial markets and financial institutions as drivers of behavioural change mobilising capital allocations to decarbonise corporate activity.Peer reviewe

Determinants of Competitiveness of the Indian Auto Industry

This paper analyses the determinants of competitiveness of auto industry in India, based on a field survey and a quantitative analysis of secondary data. It highlights that all segments of Indian auto sector are growing at a fairly high rates and their productivity as well as export intensity is on the rise. Domestic sales are rising, but they have declined in certain sub-segments of vehicles. However, the R&D expenditure has been scarce. Effective rate of protection of automobile assembly is far higher than that of auto-components manufacturing. Unorganised sector, which is quite significant in auto-component manufacturing, has grown more rapidly in the urban areas than in the rural areas. The econometric analysis suggests various measures that could be taken by the government, particularly, the credit facilitation for SMEs. A field survey comprising auto manufacturers in India underlines various constraints faced by the sector, such as the shortage of skilled manpower along with poor infrastructure, fluctuating steel prices and unavailability of land at reasonable price. This suggests that the government could facilitate the industry in becoming more competitive by taking steps such as structural fiscal reforms, cut in import duties of raw materials and capital goods, promotion of R&D and FDI, training facilities, research-backed negotiations of FTAs, roadmap for harmonising emission norms across the country and infrastructure improvement. Industry, on the other hand, should improve its R&D capabilities and market research.Indian Auto Industry, Competitiveness, Efficiency and Indian Auto Policy

Barriers to industrial energy efficiency: a literature review

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