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The purpose of this study is to trace time variation paths in risk sensitivities of bank stock returns over the period of 1990-2014, which covers one of most serious financial crises in the history of the USA.

This study programs the flexible least squares (FLS) approach (Kalaba and Testfatsion, 1988, 1989 and 1990) with R, a free statistical computing and graphics software, to estimate the three-factor model developed by He and Reichert (2003) to examine changes in risk sensitivities of bank stocks to the stock market, bond market and real estate market.

Both FLS and ordinary least squares (OLS) results indicate that the bond market (interest rate) sensitivity of bank stock returns experiences dramatic changes. It is significantly positive before the 2006 subprime mortgage crisis (11/1990 to 5/2006), reduces to insignificant in a short period of 11/2006 to 10/2008 and turns into significantly negative during the period of 11/2008-11/2014. Further, results of this study indicate that bank stocks negatively respond to changes in housing prices in the period of 11/1990-1/1994 and after that the sensitivity turns into significantly positive. The significant shifts in risk sensitivities of banks stock returns coincide with alterations in long-term interest rates and monetary policy, especially the enormously stimulative monetary policy after the financial crisis in 2008.

This study programs the FLS approach with R and uses the FLS approach to demonstrate the time variation paths of risk sensitivities of bank stocks over a period that covers the 2008 financial crisis. The OLS results verify the significant shifts in risk sensitivities suggested by the FLS estimates.

The purpose of this paper is to investigate the potential impact of political party control on bank profitability and risk. This study extends previous work by looking at overall political power with respect to party control of the House, Senate, and the Presidency.

This paper employs regression analysis using several different dependent measures of risk and return. The independent variables include dummies to represent political power and control.

The results indicate that political control does impact both bank returns and risk. More specifically, concentration of power in either party results in higher profits. However, risk and returns typically increase during periods of democratic control.

To date, no research addresses the impact of political control and party affiliation on bank risk and return. Given the importance of banks to the overall economy and financial system, this research should provide policymakers and regulators with a different perspective on bank risk and return.

The purpose of this paper is to create an endurance index of housing investor sentiment and use it to forecast housing stock returns. This study performs not only in-sample and out-of-sample forecasting, like many previous studies did, but also a true forecasting by using all lag terms of independent variables. In addition, an evaluation procedure is applied to quantify the quality of forecasts.

Using a binomial probability distribution model, this paper creates an endurance index of housing investor sentiment. The index reflects the probability of the high or low stock price being the close price for the Philadelphia Stock Exchange Housing Sector Index. This housing investor sentiment endurance index directly uses housing stock price differentials to measure housing investor reactions to all relevant news. Empirical results in this study suggest that the index can not only play a significant role in explaining variations in housing stock returns but also have decent forecasting ability.

Results of this study reveal the considerable forecasting ability of the index. Monthly forecasts of housing stock returns have an overall accuracy of 51 per cent, while the overall accuracy of 8-quarter rolling forecasts even reaches 84 per cent. In addition, the index has decent forecasting ability on changes in housing prices as suggested by the strong evidence of one-direction causal relations running from the endurance index to housing prices. However, extreme volatility of housing stock returns may impair the forecasting quality.

The endurance index of housing investor sentiment is easy to construct and use for forecasting housing stock returns. The demonstrated predictability of the index on housing stock returns in this study can have broad implications on housing-related business practices through providing an effective forecasting tool to investors and analysts of housing stocks, as well as housing policy-makers.

Despite different investor sentiment proxies suggested in the previous studies, few of them can effectively predict stock returns, due to some embedded limitations. Many increases and decreases inn prices cancel out each other during the trading day, as many unreliable sentiments cancel out each other. This dynamic process reveals not only investor sentiment but also resilience or endurance of sentiment. It is only long-lasting resilient sentiment that can be built in the closing price. It means that the only feasible way to use investor sentiment contained in stock prices to forecast future stock prices is to detach resilient investor sentiment from stock prices and construct an index of endurance of investor sentiment.

The purpose of this paper is to identify effects of prepayment risk on performance of commercial banks in the USA. Understanding how various risks impact banks' performance can help to improve performance of financial institutions and better estimate risk premia charged by banks on the loans they extend to their customers.

The paper measures the prepayment risk premium and aims to gauge its effect on various ratios that measure bank performance. Since, risk management is an important goal of financial management, it is important to learn how prepayment risk pertains to bank performance.

The results of this paper suggest that prepayment risk may significantly impact return on loans, return on equity and real estate loans to total loans ratios of various commercial banks. The impacts, in terms of strength and direction, vary between the periods of pre‐ and post‐passage of the Financial Institutions Reform and Recovery Act. The results indicate that the addition of prepayment risk variable to regression models can generally increase their ability to explain bank performance metrics.

To the authors' knowledge, there is no existing literature that gauges the impact of prepayment risk on various components of bank performance. There is existing literature that shows that bank stocks move in response to prepayment risk.

The purpose of this paper is twofold, first, to develop an effective tool to assess the performance of the overall economy by creating an assessment ratio that reflects the two top priorities of monetary policy, promoting economic growth and maintaining price stability, and second, to use the annual assessment ratios to build two subsamples, outperformance (better than the historical average) and underperformance, to examine and compare the changes in impacts of monetary and fiscal policy tools on important economic variables in different economic conditions, instead of different time periods.

The assessment ratio is defined as the gross domestic product (GDP) gap/standard deviation of inflation. Essentially, this Growth/Volatility ratio quantifies the price volatility-adjusted long-term output growth, that is, the long-term output growth given 1 per cent of the standard deviation of inflation. The growth has a positive impact on the ratio, while the effect of price volatility is negative. The ratio reflects not only the Fed’s dual goal but also the fundamental economic conditions. A higher value of the ratio indicates that the economy can better handle inflation risk in driving the long-term output growth. As the inflation level is adjusted in the numerator (GDP gap), not the denominator, no matter the Fed is engaging in the fight against inflation, or for reflation (promoting inflation) to prevent deflation and pursue price stability (Bernanke, 2002), the ratio remains consistent with the Fed’s dual goal and prefers a higher value.

Results of this study suggest that impacts of monetary and fiscal policy tools on key economic variables may be cyclic as the economic condition changes. The policy tools can significantly affect inflation volatility and the price volatility-adjusted long-term real output growth in the subpar economic conditions identified with lower assessment ratios. The effects become insignificant when the general economic performance exceeds the historical average. More importantly, results of this study indicate that the funds rate can effectively lower the price volatility, while the fiscal tools can promote long-term real output growth in the subpar economic conditions. Therefore, when inflation volatility spikes and the real output growth slows, the decisive and timely monetary and fiscal policy decisions become necessary to enhance policy effectiveness.

The assessments of effectiveness of monetary policy in the literature are based on some or all of four descriptive statistics: inflation, inflation volatility, output growth, and growth volatility. Each of them measures only one aspect of an economic phenomenon and cannot reflect the well-known conflicting relationship between maintaining price stability and promoting economic growth. For instance, from the policy perspective, a higher price volatility combined with a higher GDP growth rate for one period may or may not outperform another period with lower price volatility and growth rate. However, the assessment ratio created in this study considers both price volatility and economic growth simultaneously and can, therefore, be used as an effective measure of the overall economic performance.

The purpose of this study is to investigate the impacts of interval measured data, rather than traditional point data, on economic variability studies.

The study uses interval measured data to forecast the variability of future stock market changes. The variability (interval) forecasts are then compared with point data‐based confidence interval forecasts.

Using interval measured data in stock market variability forecasting can significantly increase forecasting accuracy, compared with using traditional point data.

An interval forecast for stock prices essentially consists of predicted levels and a predicted variability which can reduce perceived uncertainty or risk embedded in future investments, and therefore, may influence required returns and capital asset prices.

The purpose of this paper is to forecast variability in mortgage rates by using interval measured data and interval computing method.

Variability (interval) forecasts generated by the interval computing are compared with lower‐ and upper‐bound forecasts based on the ordinary least squares (OLS) rolling regressions.

On average, 56 per cent of annual changes in mortgage rates may be predicted by OLS lower‐ and upper‐bound forecasts while the interval method improves forecasting accuracy to 72 per cent.

This paper uses the interval computing method to forecast variability in mortgage rates. Future studies may expand variability forecasting into more risk‐managing areas.

Results of this study may be interesting to executive officers of banks, mortgage companies, and insurance companies, builders, investors, and other financial decision makers with an interest in mortgage rates.

Although it is well‐known that changes in mortgage rates can significantly affect the housing market and economy, there is not much serious research that attempts to forecast variability in mortgage rates in the literature. This study is the first endeavor in variability forecasting for mortgage rates.

Looking through an autoethnographical lens, the authors analyse the reclaiming of the heritage name of Indonesian Peranakan Chinese in the Netherlands with regard to their sense of belonging and (translocational) positionality. The discussion is situated in the realm of (post)colonial ties between the country of birth and their current country of residence, against the backdrop of assimilationist policies of President Soeharto’s “New Order” after the regime change following the September 30, 1965, coup attempt (G30S). The authors’ own reflections were studied in combination with interviews, both formal and informal, and desk research to compose a narrative of active memories and stories told. How was the state-imposed name change experienced? Why did they choose to reclaim their Chinese name when applying for Dutch citizenship rendered that opportunity? Where can the affective bonds be found?

The authors’ own reflections were studied in combination with interviews, both formal and informal, and desk research to compose a narrative of active memories and stories told. How was the state-imposed name change experienced? Why did they choose to reclaim their Chinese name when applying for Dutch citizenship rendered that opportunity? Where do the affective bonds lie?

The reclaiming of the heritage name has a different resonance in the sense of belonging for different generational cohorts. In the specific post-colonial Dutch context - for the generation of our interviewees and of our parents - it represents an active re-positioning of one’s self as having Chinese ancestry (the name I was born with), not because they wanted to renounce their Indonesian connection but because they were forced to make a choice. For us, the authors, it was more a matter of: because we were raised with this name.

This article is a response to the appeal to expand the scarce literature published on the Peranakan Chinese group in the Netherlands (e.g. Tjiook–Liem, 2017; Van der Meer and Eickhoff, 2017; Ang, 2005; Li, 1999) who live in a fascinating (post)colonial positionality comprising of Chinese ancestry, Indonesian background and the Dutch (new) home country. Studies on this group barely mention the consequences of name change for their belonging (Healy, 2020) and positionality (Anthias, 2012).

Gives an in depth view of the strategies pursued by the world’s leading chief executive officers in an attempt to provide guidance to new chief executives of today. Considers the marketing strategies employed, together with the organizational structures used and looks at the universal concepts that can be applied to any product. Uses anecdotal evidence to formulate a number of theories which can be used to compare your company with the best in the world. Presents initial survival strategies and then looks at ways companies can broaden their boundaries through manipulation and choice. Covers a huge variety of case studies and examples together with a substantial question and answer section.

Presents a special issue, enlisting the help of the author’s students and colleagues, focusing on age, sex, colour and disability discrimination in America. Breaks the evidence down into manageable chunks, covering: age discrimination in the workplace; discrimination against African‐Americans; sex discrimination in the workplace; same sex sexual harassment; how to investigate and prove disability discrimination; sexual harassment in the military; when the main US job‐discrimination law applies to small companies; how to investigate and prove racial discrimination; developments concerning race discrimination in the workplace; developments concerning the Equal Pay Act; developments concerning discrimination against workers with HIV or AIDS; developments concerning discrimination based on refusal of family care leave; developments concerning discrimination against gay or lesbian employees; developments concerning discrimination based on colour; how to investigate and prove discrimination concerning based on colour; developments concerning the Equal Pay Act; using statistics in employment discrimination cases; race discrimination in the workplace; developments concerning gender discrimination in the workplace; discrimination in Japanese organizations in America; discrimination in the entertainment industry; discrimination in the utility industry; understanding and effectively managing national origin discrimination; how to investigate and prove hiring discrimination based on colour; and, finally, how to investigate sexual harassment in the workplace.