In the paper we suggest a wavelet methodology of asset classification into defensive and cyclical groups. We demonstrate that such tools of bivariate wavelet analysis like wavelet gain, coherency, phase-locking value, and amplitude correlation together with term structures of risk defined via...

In the paper we evaluate the usability of certain wavelet-based methods of signal estimation for forecasting economic time series. We concentrate on extracting stochastic signals embedded in white noise with the help of wavelet scaling based on the non-decimated version of the discrete wavelet...

Vendor Managed Inventory (VMI) contracts are anchored on a fill rate at which the vendor is expected to meet the end-customer demands. Violations of this contracted fill rate due to excess and insufficient inventory are both penalized, often in a linear, but asymmetric manner. To minimize these...

We revisit the computational framework based on the M-estimation principle in the context of inventory forecasting in periodic review order-up-to inventory systems calibrated with a beta service level constraint. In particular, we discuss the identification condition for the estimation of base...

We consider forecasting in base stock inventory systems with commitments concerning the expected short-term fill rate. From the managerial perspective, the short-term fill rate is an important indicator to measure the customer service level as it can be monitored on a regular basis and is the...