Academic literature on the topic 'E444 .d86 2017'

I review The End of Alchemy by Mervyn King, published by W. W. Norton and Company in 2016. I discuss King’s proposed regulatory reform, the “pawnbroker for all seasons” (PFAS), and I compare it to an alternative solution developed in my own work. I argue that unregulated trade in the financial markets will not, in general, lead to Pareto-optimal allocations. As a consequence, solutions like the PFAS that correct problems with existing institutions are likely to be circumvented by the development of new ones. (JEL D81, D82, E44, G01, G18, G28, L51)

We propose a general equilibrium framework with financial intermediaries subject to endogenous leverage constraints, and assess its ability to explain the observed fluctuations in intermediary leverage and real economic activity. In the model, intermediaries (“banks”) borrow in the form of short-term risky debt. The presence of risk-shifting moral hazard gives rise to a leverage constraint, and creates a link between the volatility in bank asset returns and leverage. Unlike TFP or capital quality shocks, volatility shocks produce empirically plausible fluctuations in bank leverage. The model replicates well the fall in leverage, assets, and GDP during the 2007–2009 financial crisis. (JEL D82, E44, G01, G21, G32)

Credit markets, including the market for bank loans, are characterized by imperfect and asymmetric information. These informational frictions can interact with other economic forces to produce periods of credit-market stress, in which intermediation is unusually costly and households and businesses have difficulty obtaining credit. A high level of credit-market stress, as in a severe financial crisis, may in turn produce a deep and prolonged recession. I present evidence that financial distress and disrupted credit markets were important sources of the Great Depression of the 1930s and the Great Recession of 2007–2009. Changes in the state of credit markets also play a role in “ garden-variety” business cycles and in the transmission of monetary policy to the economy. (JEL D82, E32, E44, E52, G21, N22)

Most of the macro-literature on uncertainty has focused on macro-uncertainty caused by real activity as a source of economic fluctuations. Economic uncertainty reduces total demand in the economy via a conventional channel that is associated with real option theory. Given the findings of the existing literature, financial uncertainty other than macroeconomic uncertainty matters more for business cycle fluctuations. This study seeks to answer the following questions: Is uncertainty the primary cause of the business cycle’s fluctuations? Alternatively, does it matter what kind of uncertainty exists? The research utilized the generalized linear model (GLM) and the Bayesian generalized linear model (BGLM) to analyze a dataset covering the time from July 1960 to April 2015 in the United States. Elevated levels of macroeconomic uncertainty, akin to real uncertainty, and economic policy uncertainty, as measured by news sources, demonstrate a counter-cyclical pattern in relation to business cycles. Low levels of uncertainty have a positive impact on business cycles, leading to an increase in industrial production. Conversely, high levels of uncertainty have a negative effect on business cycles, causing a decline in industrial output. We are of the opinion that high levels of macroeconomic uncertainty have a ripple effect on the entire economy, which may stifle investments, reduce consumption, and create unemployment, which is likely to influence labor participation. JEL Classification: D81, E23, E32, E44, G14.

<p>The financial sector of the country is mostly comprised of banking institutions; those are leading the economy with great exposure with the contribution to the development process. However, the banking sector of Bangladesh is disturbed by the large-scale amount of non-performing loans while has become an essential part of the finance of the industries. As part of the measurement of credit risk and macro factors average lending rate, inflation, NPL size, capital adequacy ratio, liquidity ratio have been selected to test the influence on the financial performance found through the return on asset of the selected banks. To conduct the study 9 banks of three generations have been selected for the period of 2016 to 2022. Robust least square method of regression and error correction term have been run to oversee the real impact on financial performance while endogenity and random walk in the values are being considered to overcome through a dynamic regression model. NPL has a negative impact on the performance and average lending rate, inflation, liquidity ratio and capital adequacy ratio bring a positive impact on the financial performance of the banks. Breusch-Pagan LM test confirms that cross-sectional dependency exists and VAR serial correlation test finds autocorrelation in the data set. The policy implication of this study suggests that the high NPL ratio must be reduced and CAR and LR must be improved to get the desired results of the performance. Strong fiscal and banking regulation should implement so that governance can be ensured to create responsibility and financial strength.</p><p><strong>JEL:</strong> E4, D81, E33, E44</p><p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/soc/0045/a.php" alt="Hit counter" /></p>

Purpose- This research has both theoretical and practical implications. The study's findings will provide valuable insights into the impact of the COVID-19 pandemic on IPO mispricing in the Turkish IPO market. The study delves into the behavior of IPOs that were issued between 2010 and 2022, with a focus on how they were affected by the COVID-19 pandemic. The results may help investors and issuers understand the pandemic's effects on IPO pricing and inform their investment decisions. The study will also provide valuable insights to investors, regulators, and market participants, allowing them to make more informed decisions during market volatility and uncertainty periods. Methodology- The study involves employing two methods: the traditional ordinary least squares (OLS) and the more appropriate quantile regression (QR). The OLS method focuses on assessing the average impact of independent variables on mispricing, disregarding the unexplored latent characteristics of the mispricing distribution, especially when it deviates from a normal distribution. In contrast, the QR method allows us to investigate the diverse effects of independent variables at different levels of mispricing due to the asymmetric distribution of returns. By employing the QR approach, it can be identified the specific impacts of each variable on IPOs within particular levels of mispricing. This robust method is capable of handling potential heterogeneity in the distribution, which was observed in the sample. The QR method also facilitates the examination of various segments of the mispricing distribution, including the tail regions, enabling a comparison of the effects of explanatory factors on IPOs that range from extremely overpriced to extremely underpriced. Due to the constraints of the project, the paper has been done with a limited number of shares. Findings- The study investigates the impact of the COVID-19 pandemic on Initial Public Offering (IPO) mispricing in financial markets, examining changes in mispricing levels before, during, and after the pandemic. The results indicate a significant increase in IPO mispricing during the COVID-19 period, consistent with expectations due to factors such as heightened asymmetric information, reduced IPO volume, and decreased demand. The analysis tests the hypothesis that Covid-19 has a significant impact on IPO results. The results show that the null hypothesis (H0) cannot be rejected, supporting the notion that the pandemic has a substantial effect on IPO mispricing. This is particularly evident in equations examining 1-year returns. Furthermore, the study explores the influence of various factors on IPO mispricing, including stock market indices and dummy variables representing different years. While some index values are found to be insignificant, the Borsa Istanbul-All Index and dummy variables for 2020, 2021, and 2022 are significant in specific equations. Notably, the persistence of the impact of COVID-19 beyond the relevant period suggests a lasting effect on IPO mispricing. Examining sector-specific effects, the study finds that, based on first-day returns, all sector values, except for SEC 3 (Consumer Non-Cyclicals), are significant. However, for 1-year returns, only SEC 5 (Financials) and SEC 4 (Energy) exhibit significance, with the latter being slightly above the 10% limit. The increasing demand for energy companies in recent times is identified as a potential driver for higher levels of "IPO underpricing" in specific IPOs within these sectors. Conclusion- The study provides robust evidence of increased IPO mispricing during the COVID-19 pandemic, highlighting the persistent impact of the crisis on financial markets, as well as sector-specific nuances influencing mispricing levels. Keywords: IPOs (Initial Public Offerings), mispricing, pandemic, initial returns, long-term returns JEL Codes: C21, C23, D81, E44, G14