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Author:Murphy, Anthony 

Journal Article
High school financial literacy mandate could boost Texans' economic well-being
National surveys suggest Texans have a relatively low level of financial literacy that can adversely affect decision-making. Since state lawmakers mandated high school financial coursework in 2007, consumer credit measures of young Texas adults have improved.
AUTHORS: Murphy, Anthony; Cornwell, Camden
DATE: 2016-01

Working Paper
Credit, housing collateral and consumption: evidence from the UK, Japan and the US
The consumption behaviour of U.K., U.S. and Japanese households is examined and compared using a modern Ando-Modigliani style consumption function. The models incorporate income growth expectations, income uncertainty, housing collateral and other credit effects. These models therefore capture important parts of the financial accelerator. The evidence is that credit availability for U.K. and U.S. but not Japanese households has undergone large shifts since 1980. The average consumption-to-income ratio shifted up in the U.K. and U.S. as mortgage downpayment constraints eased and as the collateral role of housing wealth was enhanced by financial innovations, such as home equity loans. The estimated housing collateral effect is roughly similar in the U.S. and U.K., while land prices in Japan still have a negative effect on consumer spending. Together with evidence for negative real interest rate effects in the U.K. and U.S. and positive ones in Japan, this suggests important differences in the transmission of monetary and credit shocks between Japan and the U.S., U.K. and other credit-liberalized economies.
AUTHORS: Murata, Keiko; Muellbauer, John N.; Duca, John V.; Murphy, Anthony; Aron, Janine
DATE: 2010

Working Paper
Shifting credit standards and the boom and bust in U.S. house prices
The U.S. house price boom has been linked to an unsustainable easing of mortgage credit standards. However, standard time series models of U.S. house prices omit credit constraints and perform poorly in the 2000s. We incorporate data on credit constraints for first-time buyers into a model of U.S. house prices based on the (inverted) demand for housing services. The model yields not only a stable long-run cointegrating relationship, a reasonable speed of adjustment, plausible income and price elasticities and an improved fit, but also sensible estimates of tax credit effects and the possible bottom in real house prices.
AUTHORS: Duca, John V.; Muellbauer, John N.; Murphy, Anthony
DATE: 2011

Working Paper
House prices and credit constraints: making sense of the U.S. experience
Most U.S. house price models break down in the mid-2000s due to the omission of exogenous changes in mortgage credit supply (associated with the subprime mortgage boom) from house price-to-rent ratio and inverted housing demand models. Previous models lack data on credit constraints facing first-time homebuyers. Incorporating a measure of credit conditions?the cyclically adjusted loan-to-value ratio for first-time buyers?into house price-to-rent ratio models yields stable long-run relationships, more precisely estimated effects, reasonable speeds of adjustment and improved model fits.
AUTHORS: Duca, John V.; Muellbauer, John N.; Murphy, Anthony
DATE: 2011

Working Paper
The Contribution of Jump Signs and Activity to Forecasting Stock Price Volatility
We document the forecasting gains achieved by incorporating measures of signed, finite and infinite jumps in forecasting the volatility of equity prices, using high-frequency data from 2000 to 2016. We consider the SPY and 20 stocks that vary by sector, volume and degree of jump activity. We use extended HAR-RV models, and consider different frequencies (5, 60 and 300 seconds), forecast horizons (1, 5, 22 and 66 days) and the use of standard and robust-to-noise volatility and threshold bipower variation measures. Incorporating signed finite and infinite jumps generates significantly better real-time forecasts than the HAR-RV model, although no single extended model dominates. In general, standard volatility measures at the 300-second frequency generate the smallest real-time mean squared forecast errors. Finally, the forecasts from simple model averages generally outperform forecasts from the single best model.
AUTHORS: Hizmeri, Rodrigo; Izzeldin, Marwan; Murphy, Anthony; Tsionas, Mike G.
DATE: 2019-03-28

Working Paper
The impact of hurricanes on housing prices: evidence from U.S. coastal cities
We investigate the effect of hurricane strikes on housing prices in U.S. coastal cities. To this end, we construct a new index of hurricane destruction which varies over time and space. Using this index and an annual, two equation, dynamic equilibrium correction panel model with area and time fixed effects, we model the effects of hurricanes on real house process and real incomes. In our model hurricanes have a direct effect on house prices and an indirect effect via a fall in local incomes. Our results show that the typical hurricane strike raises real house prices for a number of years, with a maximum effect of between 3 % to 4 % three years after occurrence. There is also a small negative effect on real incomes. These results are stable across models and subsamples.
AUTHORS: Murphy, Anthony; Strobl, Eric
DATE: 2010

Working Paper
The Death of the Phillips Curve?
Are inflation dynamics well captured by Phillips Curve models, or has this framework become less relevant over time? The evidence for the U.S. suggests that the slopes of the price and wage Phillips Curves? the short-run inflation-unemployment trade-offs ? are low and have got a little flatter. For example, the recursive estimate of the unemployment coefficient in the core PCE Phillips Curve has fallen a little from -0.09 to -0.07 since the Great Recession. However, the decline is not statistically significant. Dynamic forecasts from the wage and price Phillips Curves estimated using data ending in 2007q4, almost 10 years ago, are pretty close to inflation today. This suggests that (i) low current inflation is not that surprising, and (ii) factors such as increased globalization, increased e-commerce activity, changes in concentration, the aging of the U.S. population and mismeasurement of the NAIRU are not that important (or offset each other). The Phillips Curve is still a useful, albeit imprecise, framework for understanding inflation.
AUTHORS: Murphy, Anthony
DATE: 2018-01-01

Journal Article
Liquidity mismatch helps predict bank failure and distress
Liquidity mismatch?the risk of a bank being unable to fund increases in assets or meet its obligations as they come due?increased in the U.S. banking sector during the run-up to the financial crisis, especially at the largest institutions, contributing to bank failure and distress.
AUTHORS: Murphy, Anthony; Cooke, J. B.; Koch, Christoffer
DATE: 2015-05

Journal Article
Plunging oil prices: a boost for the U.S. economy, a jolt for Texas
Economic activity in the U.S. overall will benefit from the oil price collapse. The decline will, however, negatively affect oil-producing states such as Texas and North Dakota.
AUTHORS: Murphy, Anthony; Yucel, Mine K.; Plante, Michael D.
DATE: 2015-04

Journal Article
When will the U.S. housing market stabilize?
The hope that housing markets had stabilized in mid-2010 was dashed by subsequent declines in home construction and prices (Charts 1 and 2). Homebuilding peaked about five years ago, and housing prices almost four years ago. Amid such a prolonged downturn, a key question becomes, When will the housing market stabilize and support the economic recovery? We suggest that new home construction may stabilize and start recovering slowly within the next year or so. Our econometric results also indicate that national house prices may hit bottom late this year or in early 2012 and then recover slowly.
AUTHORS: Murphy, Anthony; Luttrell, David; Duca, John V.
DATE: 2011




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