Abstract. – Recently, we have developed a method based on discrete wavelets to characterize the correlation and scaling properties of non-stationary time series. This approach is local in nature and it makes use of wavelets from the Daubechies family for detrending purpose. The natural built-in variable windows in wavelet transform makes this procedure well suited for the non-stationary data. W...

We extend the classic online ski rental problem, so that the rental price may change over time. We consider several models which differ in the knowledge given to the algorithm: whereas the price development is unknown, an algorithm may have full, partial or no knowledge about the duration of the game. We construct algorithms whose competitive ratios are up to constant or logarithmic factors opt...

We investigate the relation between trading activity—measured by the number of trades N t—and the price change G t for a given stock over a time interval [t, t + t]. We relate the time-dependent standard deviation of price changes—volatility—to two microscopic quantities: the number of transactions N t in t and the variance W 2 t of the price changes for all transactions in t . We find that N t...

This paper analyzes the effects of oil price shocks on the characteristics of the business cycle and on welfare in a small open economy, such as in the case of the Spanish economy. The results show the ability of the model to reproduce the business cycle path of the Spanish economy, especially in those periods when shocks in the price of oil were most dramatic. Furthermore, the model reproduces...

A notable feature of the Japanese economy in the last two decades is the large fluctuations in asset prices. We examine whether they can by accounted for by a stochastic growth model with habit persistence and costly capital adjustment. For the real estate price, people’s expectations on the trend growth rate in the future plays a crucial role. In particular, our model with adaptive expectation...

One approach to the analysis of stochastic fluctuations in market prices is to model characteristics of investor behaviour and the complex interactions between market participants, with the aim of extracting consequences in the aggregate. This agent-based viewpoint in finance goes back at least to the work of Garman (1976) and shares the philosophy of statistical mechanics in the physical scien...

introduction: light livestock is one of the main resources of the red meat supply. in our country, annual growth rate of light livestock production is decreased by 6.4 percent in 1383 -93. in the other words, the required input price of light livestock producing have fluctuations that have much effect on producer decisions quality. therefore, more attention to light livestock nurturing and fact...

Background: Bitcoin, the most innovate digital currency as of now, created since 2008, even through experienced its ups and downs, still keeps drawing attentions to all parts of society. It relies on peer-to-peer network, achieved decentralization, anonymous and transparent. As the most representative digital currency, people curious to study how Bitcoin’ price changes in the past. Methods: In ...

s tock returns of companies listed on the stock exchange is one of the most important criteria in assessing the macroeconomic. this study investigates the effect of exchange rate volatility on the stock exchange returns of d8 countries. it takes monthly data during the period (2008:1-2015:6) constituting 90 observations. at first we used panel-garch model to estimate exchange rate volatility in...