Failure of Lehman Brothers

This study assessed the failure of the Lehman brothers. The aim was to evaluate the causes of Lehman's bankruptcy and determine the strategies that could prevent bankruptcy in the banking sector going forward. Findings indicated a close relationship between regulations and the actions of management. In particular, the failure of Lehman showed that regulation and supervision are critical to the success and continuity of the banking sector. The analysis also showed that the demise of Lehman was a result of complex factors. These included unethical management practices, deregulation, excessive risk-taking, poor corporate governance structure, fraud, and lack of a robust ethics code. Keywords: Derivatives, Hedging, Subprime Mortgage, Bankruptcy.

Theoretical Investigation for the Failure of Lehman Brothers and Merril Lynch: A Lesson for Banking Institutions in Nigeria

The study theoretically examines the failure of Lehman Brothers and Merril Lynch as a lesson for the banking institutions in Nigeria. Hence, the instability experience in the Nigeria financial system in recent time; especially, banking sub-sector was as a result of institutional failure. Banking experts in Nigeria viewed that the failure of the two banks was an enough signal to the Nigerian banking industry. Hence, the study reveals that the two banks were absolutely limited to the size and age in determining their future instead of depending on the effectiveness and efficient management of risky assets. Hence, the conventional lending procedures are not instituted; rather than depending on subprime mortgage arrangement that has no collateral securities. The declining home prices has make refinancing more difficult as a result of inadequate innovations in securitization. The recommends that the regulatory authorities should not only relied on the conventional tools of bank supervision, but, they should employ more non-conventional methods of obtaining classified information. The financial institutions should train and retrain their employees to meet the current reality on ground. The conventional lending procedures should be instituted rather than depending on subprime mortgage management that did not have collateral securities. The Central Bank of Nigeria (CBN) should be proactive to ensure effective supervision and risk management principles.

Diversification of Bank Profitability and Bankruptcy Risk in ASIA

This study aims to determine the bank interest margin and non-interest income in 25 countries in ASIA in the study period 1993 and 2020. This study uses the quantitative method Generalized Method of Moments (GMM). Prudence in developing the banking business by banking business actors is essential in preventing a systemic financial crisis in the future, such as the experience of the Asian financial crisis in 1997 and the subprime mortgage crisis in 2008. Bank interest margins and non-interest income are both required in maintaining bank cash inflow.

MONETARY OUTLOOK

This paper aims to study the transformation of money in the United States using qualitative content analysis and predict the stability of the internal exchange rate of money by comparing the internal exchange rate of commodity money proxied by gold against crude oil internally. The exchange rate of fiat money proxied by the USD against crude oil and the internal exchange rate of synthetic money proxied by bitcoin against crude oil use the autoregressive threshold (TAR) method in the exchange period. In the great depression, fiat standards, subprime mortgage crisis, Europe experienced a debt crisis until 2017 (1960 - 2017). We compare the internal stability of money for each period in the aggregate using TAR to describe the overall fluctuation of internal exchange rate stability. So it can be seen that the behavior of data movements based on the crisis period experienced is the basis for predicting the stability of the internal exchange rate in the future.

Subprime Attention Crisis: Advertising and the Time Bomb at the Heart of the Internet

In 2020, Tim Hwang, a writer, lawyer and technology policy researcher based in New York, published a short book entitled Subprime Attention Crisis: Advertising and the Time Bomb at the Heart of the Internet, which seeks to analyse the issues that are developing around the business model associated with the continued operation of the Internet, at least in its current manifestation, and the weaknesses and potential instability associated with that model. The book is of particular interest because the problems and possible next developments of the “time bomb” are set out in a plausible manner, together with some discussion on possible solutions. In particular, the author makes a credible comparison of the business model of the Internet with the subprime mortgage securities sector, the collapse of which contributed to the Global Financial Crisis in 2008.

Economic distress and voting: evidence from the subprime mortgage crisis

We use nationwide deed-level records on home foreclosures to examine the effects of economic distress on electoral outcomes and individual voter turnout. County-level difference-in-differences estimates show that counties that suffered larger increases in foreclosures did not punish or reward members of the incumbent president's party more than less affected counties. Linking the Ohio voter file to individual foreclosures, difference-in-differences estimates show that individuals whose homes were foreclosed on were less likely to turn out, rather than being mobilized. However, in 2016 counties more exposed to foreclosures supported Trump at substantially higher rates. Taken together, the evidence suggests that the effect of local economic distress on incumbent performance is generally close to zero and only becomes substantial in unusual circumstances.

Do the Determinants of Non-Performing Loans Have a Different Effect over Time? A Conditional Correlation Approach

Several studies have explored the linkage between non-performing loans and major macroeconomic indicators, using a wide variety of methodologies, sometimes with different results. This occurs, we argue, because these relationships are generally derived in terms of correlation coefficients evaluated in certain time spans, which represent a sort of average level of correlations. However, such correlations are necessarily time-varying, because the relationships between bank loan indicators and macroeconomic variables could be stronger during particular periods or in correspondence with important economic events. We propose an empirical exercise using dynamic conditional correlation models, with constant and time-varying parameters. Applying these models to quarterly delinquency rates and an array of macroeconomic variables for the US, for the period 1985–2019, we find that the correlation is often negligible in this period except during periods of economic crises, in particular the early 1990 crisis and the subprime mortgage crisis.