By using a nonlinear VAR model, we investigate whether the response of the US stock and housing markets to uncertainty shocks depends on financial conditions. Our model allows us to change the response of the US financial markets to volatility shocks in periods of normal and financial distress....

Over the past decade, one popular way for Turkish banks to remove nonperforming loans (NPLs) from their balance sheets has been to sell them to asset management companies. We examine the short-term market reaction to the announcements of such NPL sales over the period 2009-2019. We also consider...

This paper extends the output growth model tested by Levine and Zervos (1998) by including a channel for capital allocation efficiency proxied by stock price informativeness. Using a sample of 59 countries, this study finds that stock price informativeness as measured by firm-specific return...

This paper extends the output growth model tested by Levine and Zervos (1998) by including a channel for capital allocation efficiency proxied by stock price informativeness. Using a sample of 59 countries, this study finds that stock price informativeness as measured by firm-specific return...

The purpose of the empirical research study is to analyze the volatility of OMX Tallinn Index in Estonia from 2002 to 2022 in three major period phases i.e. 2002-2008, 2009- 2015 and 2016 to 2022. Moreover, it attempted to formulate PARCH Model for each phases of OMX Tallinn Index in Estonia...

This article investigates returns and volatility linkages among stock markets, including emerging Asian (e.g., India, China, Bangladesh, Malaysia, Philippine, and South Korea) stock markets and developed (e.g., United States, United Kingdom, Japan, and Singapore) stock markets. During the sample...

In this study, we examine stock market shocks using a Global Vector Autoregressive (GVAR) model encompassing 26 countries from January 1999 to June 2022. Our findings reveal that i) shocks originating from advanced economies (AD) exhibit greater persistence in generating fluctuations compared to...

We analyze dynamics of the permanent and transitory components of the U.S. economic activity and the stock market obtained by multivariate dynamic factor modeling. We capture asymmetries over the phases of economic and stock market trends and cycles using independent Markov-switching processes....

The Great Recession has motivated economists to investigate financial uncertainty shocks as potentially important drivers of economic fluctuations. However, not all of the factors affecting financial uncertainty could cause economic downturns. In this paper, we find non-synchronized...

We investigate long-run stock-bond correlation using a model that combines the dynamic conditional correlation model with the mixed-data sampling approach and allows long-run correlation to be affected by macro-finance factors (historical and forecasts). We use macro-finance factors related to...