The Effects of the Fed's Quantitative Easing Announcements on the U.S. Mortgage Market: An Event-Study Analysis

2016 ◽  
Author(s):  
Gang Wang
Keyword(s):  
Event Study ◽  
Mortgage Market ◽  
Quantitative Easing ◽  
Study Analysis ◽  
The U.S

scholarly journals The Effects of Quantitative Easing Announcements on the Mortgage Market: An Event Study Approach

2019 ◽  
Vol 7 (1) ◽  
pp. 9 ◽  
Author(s):  
Gang Wang
Keyword(s):  
Interest Rates ◽  
Event Study ◽  
The United States ◽  
Mortgage Market ◽  
Quantitative Easing ◽  
Study Approach ◽  
Mortgage Rate ◽  
Mortgage Securities ◽  
The Impact ◽  
T Distribution

This paper uses event study analysis to estimate the impact of the United States Federal Reserve Bank’s (Fed) quantitative easing (QE) announcements on the mortgage market during the zero lower bound (ZLB) period. A total of 35 QE announcements are identified and their effects are evaluated. The best-fitting integrated generalized autoregressive conditional heteroskedasticity (IGARCH) model with skewed t distribution is used to measure the QE announcement effects on daily changes of the 30-year mortgage rate, the 30-year Treasury rate and the spread between them. Announcements suggesting the start of a new round of QE reduced the mortgage rate tremendously, while the effects of further news diminished. Announcements of an increase in mortgage-backed security purchases decreased the mortgage rate more than the Treasury rate and reduced the credit risk of holding mortgage securities over Treasury securities. The delayed effects of QE announcements on the mortgage rate were less than short-run effects but persistent. We also find that the previous literature overestimates QE effects on interest rates in general.

scholarly journals The Effects of Quantitative Easing Announcements on the Mortgage Market: An Event Study Approach

2018 ◽  
Author(s):  
Gang Wang
Keyword(s):  
Interest Rates ◽  
Event Study ◽  
Mortgage Market ◽  
Quantitative Easing ◽  
Study Approach ◽  
Long Run ◽  
Mortgage Rate ◽  
Mortgage Securities ◽  
The Impact ◽  
T Distribution

This paper uses event study analysis to estimate the impact of the Fed’s Quantitative Easing (QE) announcements on the mortgage market during zero lower bound period. A total of 35 QE announcements are identified and their effects are evaluated. The best-fitting IGARCH model with skewed t distribution is used to measure the QE announcement effects on daily changes of the 30-year mortgage rate, the 30-year Treasury rate and the spread between them. Announcements suggesting the start of a new round of QE reduced the mortgage rate tremendously, while the effects of further news diminished. Announcements of an increase in mortgage-backed security purchases decreased the mortgage rate more than the Treasury rate and reduced the credit risk of holding mortgage securities over Treasury securities. The long run effects of QE announcements on the mortgage rate were less than short run effects but persistent. We also find that the previous literature overestimate QE effects on interest rates in general.

Financial institutions mergers: a strategy choice of wealth maximisation and economic value

2020 ◽  
Vol 12 (4) ◽  
pp. 495-529
Author(s):  
Mohamad Hassan ◽  
Evangelos Giouvris
Keyword(s):  
Credit Risk ◽  
Event Study ◽  
Financial Institutions ◽  
Value Creation ◽  
Economic Value ◽  
Abnormal Returns ◽  
Study Analysis ◽  
Event Window ◽  
Content Type ◽  
Merger Announcement

Purpose This study Investigates Shareholders' value adjustment in response to financial institutions (FIs) merger announcements in the immediate event window and in the extended event window. This study also investigates accounting measures performance, comparison of post-merger to pre-merger, including several cash flow measures and not just profitability measures, as the empirical literature review suggests. Finally, the authors examine FIs mergers orientations of diversification and focus create more value for shareholders (in the immediate announcement window and several months afterward) and/or generates better cash flows, profitability and less credit risk. Design/methodology/approach This study examines FIs merger effect on bidders’ shareholder’s value and on their observed performance. This examination deploys three techniques simultaneously: a) an event study analysis, to estimate and calculate abnormal returns (ARs) and cumulative abnormal returns (CARs) in the narrow windows of the merger announcement, b) buy and hold event study analysis, to estimate ARs in the wider window of the event, +50 to +230 days after the merger announcement and c) an observed performance analysis, of financial and capital efficiency measures before and after the merger announcement; return on equity, liquidity, cost to income ratio, capital to total assets ratio, net loans to total loans, credit risk, loans to deposits ratio, other expenses and total assets, economic value addition, weighted average cost of capital and return on invested capital. Deal criteria of value, mega-deals, strategic orientation (as in Ansoff (1980) growth strategies), acquiring bank size and payment method are set as individually as control variables. Findings Results show that FIs mergers destroy share value for the bidding firms pursuing a market penetration strategy. Market development and product development strategies enable shareholders’ value creation in short and long horizons. Diversification strategies do not influence bidding shareholders’ value. Local bank to bank mergers create shareholders’ value and enhance liquidity and economic value in the short run. Bank to bank cross border mergers create value for bidders’ in the long term but are associated with high costs and higher risks. Originality/value A significant advancement over the current literature is in assessing mergers, not only for bank bidders but also for the three pillars FIs of the financial sector; banks, real-estate companies and investment companies mergers. It is an improvement over current finance literature because it deploys two different strategies in the analysis. At a univariate level, shareholder value creation and market reaction to merger announcements are examined over short (−5 or +5 days) and long (+230 days) windows of the event. Followed by regressing, the resultant CARs and BHARs over financial performance variables at the multivariate level.

Impact of ETF Listing on the Returns Generated by Underlying Stocks: Indian Evidence

2021 ◽  
pp. 0258042X2199101
Author(s):  
Prabhdeep Kaur ◽  
Jaspal Singh
Keyword(s):  
Event Study ◽  
Abnormal Returns ◽  
Price Impact ◽  
Exchange Traded Funds ◽  
Study Analysis ◽  
Jel Codes ◽  
Securities Transaction Tax ◽  
Underlying Stocks ◽  
Transaction Tax ◽  
The Impact

The advent of exchange traded funds (ETFs) has rendered index trading much affordable compared to their futures counterparts. The present study attempts to examine the impact of ETF listing on the price of the constituent securities of the index that it aims to track. The sample comprises of all the equity ETFs listed in India from 1 January 2002 to 31 March 2019. Event study analysis has been used to examine whether listing of ETFs bore any price impact on the constituent stocks of ETFs. To account for robustness, both parametric and non-parametric tests have been employed. The estimates obtained from event study analysis revealed that the constituent stocks generated insignificant returns for the period extending from January 2002 to March 2009 and April 2009 to March 2013 but positive and significant cumulative average abnormal returns (CAARs) post ETF listing for the period ranging from April 2013 to March 2019, thus providing evidence in support of positive price impact. The permission granted to pension funds, insurers and Employees’ Provident Fund Organisation (EPFO) to invest their funds in ETFs as well as reduction in Securities Transaction Tax (STT) account for the observed price differential. An analysis of the factors accounting for the variation in valuation effects ascertained that the stocks that were traded thinly prior to ETF listing and those forming part of ETFs with larger asset base experienced positive price impact following ETF listing. JEL Codes: G11, G14

Has Quantitative Easing Affected the U.S. Treasury Auction Market?

2015 ◽  
Vol 43 (1) ◽  
pp. 135-146 ◽  
Author(s):  
Catherine L. Mann ◽  
Oren Klachkin
Keyword(s):  
Quantitative Easing ◽  
Auction Market ◽  
Treasury Auction ◽  
The U.S
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