"Dark Matter: Some Reflections on the Current Account Debate"

The United States has a large and persistent current account deficit. Yet, U.S.'s income receipts from the rest of the world have exceeded its income payments to the rest of the world for many years. This appears to be paradoxical because for a country with a negative net foreign assets position, such as the U.S., international income payments to the rest of the world are likely to exceed its international income receipts. Hausmann and Sturzenegger (2005) offer an explanation of this apparent paradox. They argue that U.S. current account statistics do not properly measure U.S.'s net foreign assets position and that its actual net foreign assets position is measurably better than the officially estimated position primarily due to the existence of intangible corporate capital invested overseas. In their view the debate about the sustainability of the U.S. current account deficit and the negative net foreign assets position is moot because these deficits and debts are either non-existent or fairly small. This paper critically evaluates Hausmann et al's claims and examines the implications of their hypothesis. It offers, within an analytical framework, alternative explanations that are more consistent with the stylized facts.

An Inquiry Concerning Japanese Yen Interest Rate Swap Yields

This paper econometrically models Japanese yen (JPY)–denominated interest rate swap yields. It examines whether the short-term interest rate exerts an influence on the long-term JPY swap yield after controlling for several key macroeconomic variables, such as core inflation, the growth of industrial production, the percentage change in the equity price index, and the percentage change in the exchange rate. It also tests whether there are structural breaks in the dynamics of Japanese swap yields and related variables. The estimated econometric models show that the short-term interest rate exerts an important influence on the long-term swap yield in some periods but not in other periods in which core inflation exerts a marked influence on the swap yield. The findings from the econometric models reveal a discernable relationship between the call rate and the swap yield of different maturity tenors clearly held prior to April 2014 but did not in the subsequent period. These findings highlight the limits and scope of John Maynard Keynes’s contention that the central bank’s policy rate commands a decisive influence over the long-term market rate through the short-term interest rate. The policy implications of the estimated models’ results are discussed

A GARCH Approach to Modeling Chilean Long-Term Swap Yields

This paper econometrically models the dynamics of the Chilean interbank swap yields based on macroeconomic factors. It examines whether the month-over-month change in the short-term interest rate has a decisive influence on the long-term swap yield after controlling for other factors, such as the change in inflation, change in the growth of industrial production, change in the log of the equity price index, and change in the log of the exchange rate. It applies the generalized autoregressive conditional heteroskedasticity (GARCH) approach to model the dynamics of the long-term swap yield. The change in the short-term interest rate has an economically meaningful and statistically significant effect on the change of the interbank swap yield. This means that the Banco Central de Chile’s (BCCH) monetary policy exerts an important influence on interbank swap yields in Chile

The Dynamics of Monthly Changes in US Swap Yields: A Keynesian Perspective

John Maynard Keynes (1930) asserted that the central bank sways the long-term interest rate through the influence of its policy rate on the short-term interest rate. Recent empirical research shows that Keynes\u27s conjecture holds for long-term Treasury yields in the United States. This paper investigates whether Keynes\u27s conjecture also holds for the monthly changes in US long-term swap yields by econometrically modeling its dynamics using an autoregressive distributed lag (ARDL) approach. The econometric modeling reveals that there is statistically significant effect on the monthly changes in the Treasury bill rate on the monthly changes in swap yields of different maturity tenors after controlling for a host of macroeconomic and financial control variables. The findings from the econometric models that are estimated render a perspicacious Keynesian perspective on key policy questions and contemporary debates in macroeconomics and finance

An Analysis of UK Swap Yields

John Maynard Keynes argued that the central bank influences the long-term interest rate through the effect of its policy rate on the short-term interest rate. However, Keynes’s claim was confined to the behavior of the long-term government bond yield. This paper investigates whether Keynes’s claim holds for the yields of spread products and over-the-counter financial derivatives by econometrically modeling the dynamics of the pound sterling–denominated longterm interest rate swap yield. It uses the generalized autoregressive conditional heteroskedasticity (GARCH) modeling approach to examine the relationship between the month-over-month changes in the short-term swap yield and the month-over-month change in the long-term swap yield, while controlling for several key macroeconomic and financial variables. The month-overmonth change in the short-term interest rate has a positive and statistically significant effect on the month-over-month change in the long-term swap yield. This finding reinforces Keynes’s conjecture concerning the central bank’s influence over the long-term interest rate. The investigation’s empirical findings and their policy implications are discussed from a Keynesian perspective

Chinese Yuan Interest Rate Swap Yields

This paper models the dynamics of Chinese yuan (CNY)–denominated long-term interest rate swap yields. The financial sector plays a vital role in the Chinese economy, which has grown rapidly in the past several decades. Going forward, interest rate swaps are likely to have an important role in the Chinese financial system. This paper shows that the short-term interest rate exerts a decisive influence on the long-term swap yield after controlling for various macrofinancial variables, such as inflation or core inflation, the growth of industrial production, percent change in the equity price index, and the percentage change in the CNY exchange rate. The autoregressive distributed lag (ARDL) approach is applied to model the dynamics of the long-term swap yield. The empirical findings show that the People’s Bank of China’s influence extends even to the over-the-counter derivative products, such as CNY interest rate swap yields, through the short-term interest rate. The findings reinforce and extend John Maynard Keynes’s notion that the central bank’s actions have a decisive role in setting the long-term interest rate in emerging market economies, such as China

The Macrodynamics of Indian Rupee Swap Yields

This paper econometrically models the dynamics of Indian rupee (INR) swap yields based on key macroeconomic factors using the autoregressive distributive lag (ARDL) approach. It examines whether the short-term interest rate has a decisive influence on long-term INR swap yields after controlling for other factors, such as core inflation, the growth of industrial production, the logarithm of the equity price index, and the logarithm of the INR exchange rate. The estimated models show that the short-term interest rate has an important influence on the swap yields. This implies that the Reserve Bank of India (RBI) can sway borrowing and lending rates not just on Indian government bonds but also INR-denominated private-market financial instruments, such as swaps and swaptions

COMMUNITY BASED HOME ENERGY MANAGEMENT SYSTEM

In a Smart Grid (SG) scenario, domestic consumers can gain cost reduction benefit by scheduling their Appliance Activation Time (AAT) towards the slots of low charge. Minimization in cost is essential in Home Energy Management Systems (HEMS) to induce consumers acceptance for power scheduling to accommodate for a Demand Response (DR) at peak hours. Despite the fact that many algorithms address the power scheduling for HEMS, community based optimization has not been the focus. This paper presents an algorithm that targets the minimization of energy costs of whole community while keeping a low Peak to Average Ratio (PAR) and smooth Power Usage Pattern (PUP). Objective of cost reduction is accomplished by finding most favorable AAT by Particle Swarm Optimization (PSO) in conjunction with Inclined Block Rate (IBR) approach and Circular Price Shift (CPS). Simulated numerical results demonstrate the effectiveness of CPS to assist the merger of PSO & IBR to enhance the reduction/stability of PAR and cost reduction