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Andinet Woldemichael
and
Iyke Maduako
Housing represents the largest asset and liability, in the form of mortgages, on most national balance sheet. For most households it is their largest investment, and when mortgages are required also represents the largest component of household debt. It is also directly tied to financial markets, both the mortgage market and insurance sector. Although many countries have a rich set of housing censuses and statistics, others have large data gap in this area and therefore struggle to formulate effective policies. This paper proposes an approach to construct a global census of residential buildings using opensource satellite data. Such a layer can be used to assess the extent these buildings are exposed to climate hazards and how their production and consumption, in turn, affect the climate. The approach we propose could be scaled globally, combining existing layers of building footprints, climate and socioeconomic data. It adds to the ongoing effort of compiling spatially explicit and granular climate indicators to better inform policies. As a case study, we compute selected indicators and estimate the extent of residential properties exposure to riverine flood risk for Kenya.
Damien Capelle
,
Divya Kirti
,
Nicola Pierri
, and
German Villegas Bauer
Using self-reported data on emissions for a global sample of 4,000 large, listed firms, we document large heterogeneity in environmental performance within the same industry and country. Laggards—firms with high emissions relative to the scale of their operations—are larger, operate older physical capital stocks, are less knowledge intensive and productive, and adopt worse management practices. To rationalize these findings, we build a novel general equilibrium heterogeneous-firm model in which firms choose capital vintages and R&D expenditure and hence emissions. The model matches the full empirical distribution of firm-level heterogeneity among other moments. Our counter-factual analysis shows that this heterogeneity matters for assessing the macroeconomic costs of mitigation policies, the channels through which policies act, and their distributional effects. We also quantify the gains from technology transfers to EMDEs.
Michaela Dolk
,
Mr. Dimitrios Laliotis
, and
Sujan Lamichhane
This paper explores the financial stability implications of acute physical climate change risks using a novel approach that focuses on a severe season associated with a sequence of tropical cyclone and flood events. Our approach was recently applied to study physical risks in the Mexican financial sector, but the framework is applicable to other countries as well. We show that even if the scale of individual climate events may not be material at an aggregate national scale, considering a sequence of events could lead to potentially significant macro-financial impacts in the short term. This could occur even if none of the individual events affect the particular region(s) with highest concentrations of banking sector exposures. Our results indicate potential for even greater effects in the future given the increasing severity and frequency of extreme events from climate change. Thus, this paper highlights the importance of considering sequences of extreme physical risk events driven by climate change, rather than just individual extreme events, to better understand financial stability implications and design effective policies.
Martina Hengge
,
Ugo Panizza
, and
Richard Varghese
Understanding the impact of climate mitigation policies is key to designing effective carbon pricing tools. We use institutional features of the EU Emissions Trading System (ETS) and high-frequency data on more than 2,000 publicly listed European firms over 2011-21 to study the impact of carbon policies on stock returns. After extracting the surprise component of regulatory actions, we show that events resulting in higher carbon prices lead to negative abnormal returns which increase with a firm's carbon intensity. This negative relationship is even stronger for firms in sectors which do not participate in the EU ETS suggesting that investors price in transition risk stemming from the shift towards a low-carbon economy. We conclude that policies which increase carbon prices are effective in raising the cost of capital for emission-intensive firms.
Stefan Mittnik
,
Willi Semmler
, and
Alexander Haider
Recent research in financial economics has shown that rare large disasters have the potential to disrupt financial sectors via the destruction of capital stocks and jumps in risk premia. These disruptions often entail negative feedback e?ects on the macroecon-omy. Research on disaster risks has also actively been pursued in the macroeconomic models of climate change. Our paper uses insights from the former work to study disaster risks in the macroeconomics of climate change and to spell out policy needs. Empirically the link between carbon dioxide emission and the frequency of climate re-lated disaster is investigated using cross-sectional and panel data. The modeling part then uses a multi-phase dynamic macro model to explore this causal nexus and the e?ects of rare large disasters resulting in capital losses and rising risk premia. Our proposed multi-phase dynamic model, incorporating climate-related disaster shocks and their aftermath as one phase, is suitable for studying mitigation and adaptation policies.
Manoj Atolia
,
Mr. Prakash Loungani
,
Helmut Maurer
, and
Willi Semmler
The Integrated Assessment Model (IAM) has extensively treated the adverse effects of climate change and the appropriate mitigation policy. We extend such a model to include optimal policies for mitigation, adaptation and infrastructure investment studying the dynamics of the transition to a low fossil-fuel economy. We focus on the adverse effects of increase in atmospheric CO2 concentration on households. Formally, the model gives rise to an optimal control problem of finite horizon consisting of a dynamic system with five-dimensional state vector consisting of stocks of private capital, green capital, public capital, stock of brown energy in the ground, and emissions. Given the numerous challenges to climate change policies the control vector is also five-dimensional. Our solutions are characterized by turnpike property and the optimal policy that accomplishes the objective of keeping the CO2 levels within bound is characterized by a significant proportion of investment in public capital going to mitigation in the initial periods. When initial levels of CO2 are high, adaptation efforts also start immediately, but during the initial period, they account for a smaller proportion of government's public investment.
Ms. Catherine A Pattillo
and
Mr. Hugh Bredenkamp
This note outlines a scheme for mobilizing financing to help developing countries confront the challenges posed by climate change. The idea is to create a “Green Fund” with the capacity to raise resources on a scale commensurate with the Copenhagen Accord ($100 billion a year by 2020). By providing a unified resource mobilization framework, with up-front agreement on burdensharing and the capacity to meet the financing needs identified at Copenhagen, the Green Fund could facilitate progress toward a binding global agreement on reducing greenhouse gas emissions and allow developing countries to begin scaling up their climate change responses without delay. To achieve the necessary scale, the Green Fund would use an initial capital injection by developed countries in the form of reserve assets, which could include SDRs, to leverage resources from private and official investors by issuing low-cost “green bonds” in global capital markets. Contributors could agree to scale their equity stakes in proportion to their IMF quota shares, making these the “key” for burden sharing among the contributing countries. Since much of the financing would need to be provided ultimately as grants or highly concessional loans, the fund would also need to mobilize subsidy resources from contributors. Governments would likely require new sources of fiscal revenue for this purpose, including from carbon taxes and expanded carbon-trading schemes, which may take time to put in place. In the interim, the Green Fund could cover its subsidy needs from bond proceeds, interest income on its reserve asset capital base, and/or revenues from other innovative international tax schemes. Resources mobilized by the Green Fund could be channeled through existing climate funds, or via newly created special-purpose disbursement facilities. We are not proposing that the IMF itself would create, finance, or manage the Green Fund. The ideas set out in this note are being offered purely for consideration by the international community, and as a contribution to the broader public debate.