We show that a one-sector real business cycle model with mild increasing returns-toscale and variable capital utilization is able to produce qualitatively realistic business cycles driven solely by aggregate demand shocks. In particular, a positive government spending shock can lead to simultaneous increases in output, consumption, investment, employment, labor productivity and the real wage. O...

Unlike price fluctuations, the temporal structure of cryptocurrency trading has seldom been a subject systematic study. In order to fill this gap, we analyse detrended correlations returns, average number trades in time unit, and traded volume based on high-frequency data representing two major cryptocurrencies: bitcoin ether. We apply multifractal cross-correlation analysis, which is considere...

in this research the asymmetric and non-linear correlation between the market returns and trading volume variables has modeled with the dcc-garch approach; and the impacts of market shocks, weekend and calendar effects on the market returns and trading volume are surveyed. the estimation results of parameters of the model by the maximum likelihood method show that previous day’s market return h...

We use a “byte” variant of Bruce Schneier’s Solitaire EncryptionAlgorithm to produce the seed and weight system of a lagged Fibonacci pseu-dorandom number generator which generates a sequence of bytes. We analyzevariants of the procedure above by testing them using some up to date random-ness tests.MSC 2000. 65C10.

Research has found strong links between past credit booms and adverse outcomes for macroeconomic aggregates like output investment. However, are price impacts also seen more widely in broad asset classes such as equity fixed-income markets? We document a robust significant connection using large sample of historical data many advanced countries since 1870. Credit boom periods with high “leverag...

The timing of the retinal input to the lateral geniculate nucleus is highly modified in lagged cells. Evidence is reviewed for how the responses of these cells are generated, how their structure and function differs from their nonlagged neighbors, and what their projections to cortex might do.

A lagged dependent variable in an OLS regression is often used as a means of capturing dynamic effects in political processes and as a method for ridding the model of autocorrelation. But recent work contends that the lagged dependent variable specification is too problematic for use in most situations. More specifically, if residual autocorrelation is present, the lagged dependent variable cau...

Measures extracted from software repositories tend to be collected on a regular basis (often daily), forming time series of data. In this context, it is normal to assume that some of the measures collected are having an effect on other measures, potentially with some delay (or “lag”) in the effect. Such delay in the effect may even vary over time, making the identification of the effect difficu...