The connectedness dynamics between large-, mid-, and small-cap stocks is investigated using the forecasted error variance decomposition (FEVD) spillover framework of Diebold and Yilmaz in the time-frequency domain. Total volatility spillover (i.e., connectedness) is elevated between large-, mid-, and small-cap stocks during the study period. This high level of spillover exists in the short run only, and declines gradually in the medium to long run, thus providing opportunities for portfolio diversification (hedging) in multi-cap investing during the medium-to-long run (short run) only. Like total connectedness, a similar pattern of bilateral connectedness is observed between either of the two indices, thus providing a similar opportunity in the short and long runs. The mid-cap index emerges as the major contributor to total volatility in the system, followed by the small- and large-cap indices, during the analyzed period. The volatility spillover is time-varying in both the time and frequency domains.

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Learning outcomes The learning outcomes of this paper is as follows: to review the basic differences between the two evolving bonds, i.e. green vs masala bonds in the Indian capital market; to comprehend the factors that need to be considered in deciding the type of bond to be issued; to assess complexities, such as process, timing, risk and location in relation to the issue of the green bonds; and to understanding the rudiments of bond economics, such as pricing, all-in-cost and yield-to-maturity of bonds and make a comparison of all-in-cost of the Reg-S bond and green bond to Indian Railway Finance Corporation (IRFC). Case overview/synopsis In September 2017, IRFC, a public sector undertaking registered as a Non-Banking Finance Company with Reserve Bank of India under the administrative control of the Ministry of Railways, was planning to raise US$500m 10-year green bonds from investors in Asia, Europe and the Middle East. The green bond proceeds were proposed to be used for low carbon transport and in this way, contribute significantly to the green initiatives of the Indian Railways. Many companies in India had issued regular bonds without labeling them as green but had used the proceeds of the bond for climate-aligned assets. Therefore, a bigger challenge before the IRFC management was the economics of green bond for getting a nod from the Board of Governors to go ahead. Some preliminary estimates on cost of green bonds were received from few bankers but to see that the terms of green bonds are met eventually, the Director (Finance) developed his own estimate of the cost of the new bonds. The Managing Director and Director (Finance) of IRFC were trying to figure out the economic advantage of green bonds besides its social benefits. Complexity academic level MBA Programme Executive Training. Supplementary materials Teaching notes are available for educators only. Subject code CSS 1: Accounting and Finance.

Blockchain technology is being looked at to solve numerous real-world problems that demand transparency by meeting sustainable goals. Do we ponder whether this technology is a boon or a bane for the environment? This paper analyses blockchain’s dominant consensus method, Proof-of-Work (PoW), which consumes more energy than Malaysia and Sweden and further deteriorates the environment through carbon emissions. This study is the first systematic evaluation of PoW consensus-based blockchain applications’ environmental consequences. We found 11 significant Theories, 6 Contexts, and 26 Methodologies (TCM) in 60 reviewed articles. We propose an Antecedents, Drivers, and Outcomes (ADO) model, which depicts that marginal profits drive high energy consumption and carbon emissions, with non-renewable energy proportionally responsible for carbon emissions. The article distinctively uses an integrated TCM-ADO framework for literature synthesis and the PESTLE framework for reporting future research areas. This is the first study to use the following four frameworks: PRISMA; TCM; ADO; and PESTLE for systematic literature review. Profit is identified as one of the most significant drivers of energy consumption and further carbon emissions. The article proposes 65 future research areas and makes theoretical contributions to the literature that may interest academicians, practitioners, and social stakeholders.