A body of literature shows that lenders grant less credit to borrowers who are geographically farther away. This literature assumes that physical distance increases the costs for the lender to monitor borrowers, thereby increasing informational frictions. However, we are aware of no studies that directly test this assumption. We use a proprietary database of detailed loan-level data and on-site inspection reports for a bank’s portfolio of construction loans to examine the relationship between distance and monitoring activity. We find that construction projects farther from the nearest bank branch are more intensely monitored by third-party inspectors contracted by the bank. We also find that projects farther from these third-party inspectors are subject to less intense monitoring. These results are consistent with the prediction that distance increases the informational opacity of borrowers, but also suggest that banks can at least partially offset these frictions through the delegation of monitoring to closer inspectors.

The dataset includes analysis of key policies and reforms that were promoted in the aftermath of the 2011 protests in Israel. The analysis describes and categorizes these reforms according to pre-defined criteria. The findings illustrate how certain reforms can be tied to the demands of the protesters, and how government responded to these demands by introducing a range of policies and regulation designed to tackle the housing crisis.The dataset also features a list of interviewees whose input was instrumental in conducting the analysis of housing and planning policies.

The Greater London Authority's ‘Housing in London’ report sets out the evidence base for the Mayor's housing policies, summarising key patterns and trends across a wide range of topics relevant to housing in the capital. The report is the evidence base for the Mayor’s London Housing Strategy, the latest edition of which was published in May 2018. The 2024 edition of Housing in London can be viewed here. It includes monitoring indicators for the London Housing Strategy, and five thematic chapters: * 1. Demographic, economic and social context * 2. Housing stock and supply * 3. Housing costs and affordability * 4. Housing needs, including homelessness and overcrowding * 5. Mobility and decent homes Where possible, the data behind each year's report's charts and maps is made available below. To provide feedback or request the document in an accessible format, please email housing.analysis@london.gov.uk

Snapshot img

Structured Finance Market Size 2025-2029

The structured finance market size is valued to increase by USD 1128.5 billion, at a CAGR of 11.9% from 2024 to 2029. Increasing demand for alternative investment products will drive the structured finance market.

Major Market Trends & Insights

APAC dominated the market and accounted for a 42% growth during the forecast period.
By End-user - Large enterprises segment was valued at USD 771.40 billion in 2023
By Type - CDO segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 163.86 billion
Market Future Opportunities: USD 1128.50 billion
CAGR from 2024 to 2029 : 11.9%

Market Summary

The market is witnessing significant growth due to the increasing demand for alternative investment products. This trend is driven by investors' quest for yield and risk diversification, particularly in an era of low-interest rates. One notable development in this space is the increasing popularity of Environmental, Social, and Governance (ESG) linked structured finance products. These instruments offer investors the opportunity to align their investments with their values while also potentially achieving attractive returns. Another factor fueling market growth is the increasing complexity of structured finance products. As financial institutions seek to innovate and differentiate themselves, they are developing increasingly sophisticated structures to meet the evolving needs of their clients.
For instance, a leading global manufacturing company recently optimized its supply chain financing by implementing a structured finance solution. This enabled the company to improve its working capital position and enhance operational efficiency, resulting in a significant reduction in days sales outstanding (DSO) by 15%. Despite these opportunities, the market faces challenges, including regulatory compliance and counterparty risk. As financial regulations continue to evolve, institutions must ensure that their structured products comply with the latest rules and regulations. Additionally, managing counterparty risk remains a critical concern, particularly in the wake of the 2008 financial crisis. To mitigate these risks, institutions are increasingly leveraging technology and Data Analytics to assess and monitor counterparty risk in real-time.
In conclusion, the market is experiencing robust growth, driven by increasing demand for alternative investment products and the development of innovative structures. While challenges persist, institutions that can effectively navigate the complex regulatory landscape and manage counterparty risk will be well-positioned to capitalize on the opportunities in this dynamic market.

What will be the Size of the Structured Finance Market during the forecast period?

Get Key Insights on Market Forecast (PDF) Request Free Sample

How is the Structured Finance Market Segmented ?

The structured finance industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

End-user

  Large enterprises
  SMEs


Type

  CDO
  Asset-backed securities
  Mortgage-backed securities


Product

  Loans
  Bonds
  Mortgages
  Credit card and trade receivables
  Others


Application Type

  Real Estate
  Automotive
  Consumer Credit
  Infrastructure


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  APAC

    Australia
    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By End-user Insights

The large enterprises segment is estimated to witness significant growth during the forecast period.

In the dynamic world of structured finance, major enterprises play a pivotal role, engaging in intricate financing agreements to manage their capital and mitigate risk. Structured finance transactions involve the combination of various financial instruments, including bonds, mortgages, and loans, which are then securitized and sold to investors. This process enables businesses to raise capital by transferring related risks, with large businesses often serving as the original creators of the underlying assets. The market is characterized by ongoing activities and evolving patterns. For instance, portfolio risk management strategies involve the use of credit derivatives, such as credit default swaps and interest rate swaps, for hedging purposes.

Leveraged finance and Private Equity financing employ synthetic securitization techniques, like structured notes and synthetic collateralized debt obligations, to optimize capital structures. Credit rating agencies assess credit risk, while investment grade ratings provide benchmarks for investors. Liquidity management and due diligence processes

The Greater London Authority's ‘Housing in London’ report sets out the evidence base for the Mayor's housing policies, summarising key patterns and trends across a wide range of topics relevant to housing in the capital. The report is the evidence base for the Mayor’s London Housing Strategy, the latest edition of which was published in May 2018.

The 2024 edition of Housing in London can be viewed here. It includes monitoring indicators for the London Housing Strategy, and five thematic chapters:

• 1. Demographic, economic and social context
• 2. Housing stock and supply
• 3. Housing costs and affordability
• 4. Housing needs, including homelessness and overcrowding
• 5. Mobility and decent homes

Where possible, the data behind each year's report's charts and maps is made available below.

To provide feedback or request the document in an accessible format, please email housing.analysis@london.gov.uk

This Web App shows basic information about layers needed for managing data requests related to SB-330 for the unincorporated areas of Los Angeles County, and is called Housing-NET. This Web App shows the following information with hyperlinks to relevant documents:Last Updated April 2025 (Filter applied to Historic Resources layer - was previously showing community survey areas and 'ineligible for nomination' polygons)AboutThe Housing Crisis Act of 2019 is a bill (SB 330) that became effective on January 1, 2020. The bill provides eligible housing development projects streamlined application processing and vesting status when a Preliminary Application is filed. Vesting means a housing development project shall be subject only to the ordinances, policies, and standards adopted and in effect when a Preliminary Application, including all of the information required by Government Code Section 65941.1 is submitted in full. These map layers are provided to help in completing the Preliminary Application form for Los Angeles County Unincorporated Communities. UPDATE HISTORY04/01/2025 - Migrated to Experience BuilderLAYER BACKGROUND INFORMATION Affected Counties (California Department of Housing and Community Development) defined as a Census Designated Place that is wholly within the boundaries of an urbanized area). Based on HCD’s determination, 141 CDPs in 22 counties are identified as affected by the provisions of SB 330.Affected Counties (PDF) A very high fire hazard severity zone (As determined by the Department of Forestry and Fire Protection pursuant to Section 51178)Wetlands (As defined in the United States Fish and Wildlife Service Manual, Part 660 FW 2 (June 21, 1993)).A hazardous waste site (Listed pursuant to Section 65962.5 or a hazardous waste site designated by the Department of Toxic Substances Control pursuant to Section 25356 of the Health and Safety Code).FEMA Flood Zoned – 100 Year Flood [A special flood hazard area subject to inundation by the 1 percent annual chance flood (100-year flood) as determined by the Federal Emergency Management Agency in any official maps published by the Federal Emergency Management Agency].A delineated earthquake fault zone (As determined by the State Geologist in any official maps published by the State Geologist)A stream or other resource that may be subject to a stream bed alteration agreement (Pursuant to Chapter 6, commencing with Section 1600, of Division 2 of the Fish and Game Code)Known Historic and Cultural Resources (Resources listed in unincorporated LA County, California Office of Historic Preservation, National Register of Historic Places)Coastal ZoneLand Use General Plan: Land Use Policy as created by the Los Angeles County General Plan 2035, which provides the policy framework for how and where the unincorporated County will grow through the year 2035. For more information about the General Plan, please click here.Land Use Community/Area Plan: Land Use Policy as created by the various Area / Community / Coastal / Neighborhood Plans in the unincorporated County. For more information about the various plans, please click here. Zoning: For complete information, see Title 22 (Planning and Zoning) of the Los Angeles County Code.For projects in the Coastal Zone OnlyWetlands in the Coastal Zone (As defined in subdivision (b) of Section 13577 of Title 14 of the California Code of Regulations).Environmentally sensitive habitat areas (As defined in Section 30240 of the Public Resources Code).Tsunami run-up zone: Area modeled to be inundated by a tsunami.Additional LayersHousing Element (2021-2029) – Sites Inventory: This layer identifies parcels that are included in the Sites Inventory of the Revised County of Los Angeles Housing Element (2021-2029). The Sites Inventory is comprised of vacant and underutilized sites within unincorporated Los Angeles County that are zoned at appropriate densities and development standards to facilitate housing development during the 2021-2029 Housing Element planning period. For more information about the Sites Inventory and the site selection methodology, please see the Revised County of Los Angeles Housing Element (2021-2029).Housing Element (2021-2029) – Rezoning: This layer identifies parcels that are included in the Rezoning Program of the Revised County of Los Angeles Housing Element (2021-2029). Unincorporated Los Angeles County has an assigned Regional Housing Needs Allocation (RHNA) of 90,052 units for the 2021-2029 Housing Element planning period. For more information about the Rezoning Program and the site selection methodology, please see the Revised County of Los Angeles Housing Element (2021-2029).

The value of the DJIA index amounted to ****** at the end of June 2025, up from ********* at the end of March 2020. Global panic about the coronavirus epidemic caused the drop in March 2020, which was the worst drop since the collapse of Lehman Brothers in 2008. Dow Jones Industrial Average index – additional information The Dow Jones Industrial Average index is a price-weighted average of 30 of the largest American publicly traded companies on New York Stock Exchange and NASDAQ, and includes companies like Goldman Sachs, IBM and Walt Disney. This index is considered to be a barometer of the state of the American economy. DJIA index was created in 1986 by Charles Dow. Along with the NASDAQ 100 and S&P 500 indices, it is amongst the most well-known and used stock indexes in the world. The year that the 2018 financial crisis unfolded was one of the worst years of the Dow. It was also in 2008 that some of the largest ever recorded losses of the Dow Jones Index based on single-day points were registered. On September 29, 2008, for instance, the Dow had a loss of ****** points, one of the largest single-day losses of all times. The best years in the history of the index still are 1915, when the index value increased by ***** percent in one year, and 1933, year when the index registered a growth of ***** percent.