Liberty Street Economics
Return to Liberty Street Economics Home Page

23 posts on "Climate Change"
October 10, 2024

International Stock Markets’ Reactions to EU Climate Policy Shocks

The launch of the EU ETS marks a significant step towards achieving Europe's climate goals and fostering a sustainable future.

While policies to combat climate change are designed to address a global problem, they are generally implemented at the national level. Nevertheless, the impact of domestic climate policies may spill over internationally given countries’ economic and financial interdependence. For example, a carbon tax charged to domestic firms for their use of fossil fuels may lead the firms to charge higher prices to their domestic and foreign customers; given the importance of global value chains in modern economies, the impact of that carbon tax may propagate across multiple layers of cross-border production linkages. In this post, we quantify the spillover effects of climate policies on forward-looking asset prices globally by estimating the impact of carbon price shocks in the European Union’s Emissions Trading System (EU ETS) on stock prices across a broad set of country-industry pairs. In other words, we measure how asset markets evaluate the impact of changes to the carbon price on growth and profitability prospects of the firms.

October 7, 2024

What Do Climate Risk Indices Measure?

Photo of a melting iceberg with water trickling down splashing into a water body.

As interest in understanding the economic impacts of climate change grows, the climate economics and finance literature has developed a number of indices to quantify climate risks. Various approaches have been employed, utilizing firm-level emissions data, financial market data (from equity and derivatives markets), or textual data. Focusing on the latter approach, we conduct descriptive analyses of six text-based climate risk indices from published or well-cited papers. In this blog post, we highlight the differences and commonalities across these indices.

Posted at 7:00 am in Climate Change | Permalink
September 25, 2024

Flood Risk Outside Flood Zones — A Look at Mortgage Lending in Risky Areas

Decorative image: Aerial view river that flooded the city and houses. Flooded houses in the water.

In support of the National Flood Insurance Program (NFIP), the Federal Emergency Management Agency (FEMA) creates flood maps that indicate areas with high flood risk, where mortgage applicants must buy flood insurance. The effects of flood insurance mandates were discussed in detail in a prior blog series. In 2021 alone, more than $200 billion worth of mortgages were originated in areas covered by a flood map. However, these maps are discrete, whereas the underlying flood risk may be continuous, and they are sometimes outdated. As a result, official flood maps may not fully capture the true flood risk an area faces. In this post, we make use of unique property-level mortgage data and find that in 2021, mortgages worth over $600 billion were originated in areas with high flood risk but no flood map. We examine what types of lenders are aware of this “unmapped” flood risk and how they adjust their lending practices. We find that—on average—lenders are more reluctant to lend in these unmapped yet risky regions. Those that do, such as nonbanks, are more aggressive at securitizing and selling off risky loans.

Posted at 7:00 am in Banks, Climate Change | Permalink
November 20, 2023

Banks versus Hurricanes

Woman looking over the debris left by hurricane of her home in Puerto Rico.

The impacts of hurricanes analyzed in the previous post in this series may be far-reaching in the Second District. In a new Staff Report, we study how banks in Puerto Rico fared after Hurricane Maria struck the island on September 17, 2017. Maria makes a worst case in some respects because the economy and banks there were vulnerable beforehand, and because Maria struck just two weeks after Hurricane Irma flooded the island. Despite the immense destruction and disruption Maria caused, we find that the island’s economy and banks recovered surprisingly quickly. We discuss the various protections—including homeowners’ insurance, federal aid, and mortgage guarantees—that helped buttress the island’s economy and banks.

Posted at 7:00 am in Banks, Climate Change | Permalink
November 17, 2023

Flood‑Prone Basement Housing in New York City and the Impact on Low‑ and Moderate‑Income Renters

Decorative image: Man in front of a house with belongings from flood damage.

Hurricane Ida, which struck New York in early September 2021, exposed the region’s vulnerability to extreme rainfall and inland flooding. The storm created massive damage to the housing stock, particularly low-lying units. This post measures the storm’s impact on basement housing stock and, following the focus on more-at-risk populations from the two previous entries in this series, analyzes the attendant impact on low-income and immigrant populations. We find that basements in select census tracts are at high risk of flooding, affecting an estimated 10 percent of low-income and immigrant New Yorkers.

Posted at 7:00 am in Climate Change, Inequality, New York | Permalink
November 16, 2023

Small Business Recovery after Natural Disasters in the Fed’s Second District

A previous Liberty Street Economics post found that minority-owned small businesses in the Federal Reserve’s Second District have been particularly vulnerable to natural disasters. Here we focus on the aftermath of disasters (such as hurricanes, floods, wildfires, droughts, and winter storms) and examine disparities in the ability of these firms to reopen their businesses and access disaster relief. Our results indicate that while white- and minority-owned firms remain closed for similar durations, the latter are more reliant on external funding from government and private sources to cope with disaster losses.

November 15, 2023

How Do Natural Disasters Affect Small Business Owners in the Fed’s Second District?

Decorative image: Woman walking in flood water to go shopping.

In this post, we follow up on the previous Liberty Street Economics post in this series by studying other impacts of extreme weather on the real sector. Data from the Federal Reserve’s Small Business Credit Survey (SBCS) shed light on how small businesses in the Second District are impacted by natural disasters (such as hurricanes, floods, wildfires, droughts, and winter storms). Among our findings are that increasing shares of small business firms in the region sustain losses from natural disasters, with minority-owned firms suffering losses at a disproportionately higher rate than white-owned firms. For many minority-owned firms, these losses make up a larger portion of their total revenues. In a companion post, we will explore the post-disaster recovery of small firms in the Second District: how long do they remain closed and what are their sources of disaster relief?

November 14, 2023

Flood Risk and Firm Location Decisions in the Fed’s Second District

Photo of long island restaurant near the ocean and bay with people having food and cocktails.

The intensity, duration, and frequency of flooding have increased over the past few decades. According to the Federal Emergency Management Agency (FEMA), 99 percent of U.S. counties have been impacted by a flooding event since 1999. As the frequency of flood events continues to increase, the number of people, buildings, and agriculture exposed to flood risk is only likely to grow. As a previous post points out, measuring the geographical accuracy of such risk is important and may impact bank lending. In this post, we focus on the distribution of flood risk within the Federal Reserve’s Second District and examine its effect on establishment location decisions over the last two decades.

Posted at 7:00 am in Climate Change | Permalink
November 13, 2023

How Do Banks Lend in Inaccurate Flood Zones in the Fed’s Second District?

Photo of blue house in pine woods area flooded with muddy water up to its front door.

In our previous post, we identified the degree to which flood maps in the Federal Reserve’s Second District are inaccurate. In this post, we use our data on the accuracy of flood maps to examine how banks lend in “inaccurately mapped” areas, again focusing on the Second District in particular. We find that banks are seemingly aware of poor-quality flood maps and are generally less likely to lend in such regions, thereby demonstrating a degree of flood risk management or risk aversion. This propensity to avoid lending in inaccurately mapped areas can be seen in jumbo as well as non-jumbo loans, once we account for a series of confounding effects. The results for the Second District largely mirror those for the rest of the nation, with inaccuracies leading to similar reductions in lending, especially among non-jumbo loans.

November 10, 2023

Potential Flood Map Inaccuracies in the Fed’s Second District

The National Flood Insurance Program (NFIP) flood maps, which designate areas at risk of flooding, are updated periodically through the Federal Emergency Management Agency (FEMA) and community efforts. Even so, many maps are several years old. As the previous two posts in the Extreme Weather series show, climate-related risks vary geographically. It is therefore important to produce accurate maps of such risks, like flooding. In this post we use detailed data on the flood risk faced by individual dwellings as well as digitized FEMA flood maps to tease out the degree to which flood maps in the Second District are inaccurate. Since inaccurate maps may leave households or banks exposed to the risk of uninsured flood damage, understanding map inaccuracies is key. We show that, when aggregated to the census tract level, a large number of maps do not fully capture flood risk. However, we are also able to show that updates do in fact improve map quality.

About the Blog

Liberty Street Economics features insight and analysis from New York Fed economists working at the intersection of research and policy. Launched in 2011, the blog takes its name from the Bank’s headquarters at 33 Liberty Street in Manhattan’s Financial District.

The editors are Michael Fleming, Andrew Haughwout, Thomas Klitgaard, and Asani Sarkar, all economists in the Bank’s Research Group.

Liberty Street Economics does not publish new posts during the blackout periods surrounding Federal Open Market Committee meetings.

The views expressed are those of the authors, and do not necessarily reflect the position of the New York Fed or the Federal Reserve System.

Economic Research Tracker

Image of NYFED Economic Research Tracker Icon Liberty Street Economics is available on the iPhone® and iPad® and can be customized by economic research topic or economist.

Economic Inequality

image of inequality icons for the Economic Inequality: A Research Series

This ongoing Liberty Street Economics series analyzes disparities in economic and policy outcomes by race, gender, age, region, income, and other factors.

Most Read this Year

Comment Guidelines

 

We encourage your comments and queries on our posts and will publish them (below the post) subject to the following guidelines:

Please be brief: Comments are limited to 1,500 characters.

Please be aware: Comments submitted shortly before or during the FOMC blackout may not be published until after the blackout.

Please be relevant: Comments are moderated and will not appear until they have been reviewed to ensure that they are substantive and clearly related to the topic of the post.

Please be respectful: We reserve the right not to post any comment, and will not post comments that are abusive, harassing, obscene, or commercial in nature. No notice will be given regarding whether a submission will or will
not be posted.‎

Comments with links: Please do not include any links in your comment, even if you feel the links will contribute to the discussion. Comments with links will not be posted.

Send Us Feedback

Disclosure Policy

The LSE editors ask authors submitting a post to the blog to confirm that they have no conflicts of interest as defined by the American Economic Association in its Disclosure Policy. If an author has sources of financial support or other interests that could be perceived as influencing the research presented in the post, we disclose that fact in a statement prepared by the author and appended to the author information at the end of the post. If the author has no such interests to disclose, no statement is provided. Note, however, that we do indicate in all cases if a data vendor or other party has a right to review a post.

Archives