To the manor born: a new microlevel wage database for eighteenth-century Denmark

We document and make available to the scholarly community a uniquely detailed database of 20,680 observations of wages for men, women, and children and 30,000 observations of prices from eighteenth-century rural Denmark. These microlevel data were originally collected by the Danish Price History Project but have not previously been released. To illustrate the usefulness of such data, we discuss possible applications.

Grain Prices in the Account Book of Kirillo-Belozersky Monastery (1570s – 1610s)

The article describes the feasibility of the study of prices fixed for bread (rye, oat, barley and wheat), one of the basic products consumed by Russia’s population in the early Modern Time according to materials containing in monastery vkladnye knigi of the XVI–XVII centuries. As a rule, all monasteries used to keep account books irrespective of how large the monastery brethren were, the time of monastery foundation and means of support they had. As a rule, contributions to monastries were priced, and it makes it possible to use such contribution records for a study of price history including grain prices. The study is based on the records containing in the account book of Kirillo-Belozersky Monastery for the period between 1559/60–1620s. (Archive of St.Petersburg History Institute, Russian Academy of Sciences. Coll. 115. T. 1074). The found price data are comparable with grain prices published on the basis of account books of the Russian North monasteries and feature «bread» price changes in the region over the period of the crisis in the final third of the XVI century, Great Famine and the Time of Trouble at the turn of the XVII century.

A guaranteed deterministic approach to superhedging: mixed strategies and game equilibrium

For a discrete-time superreplication problem, a guaranteed deterministic formulation is considered: the problem is to ensure a cheapest coverage of the contingent claim on an option under all scenarios which are set using a priori defined compacts, depending on the price history: price increments at each moment of time must lie in the corresponding compacts. The market is considered with trading constraints and without transaction costs. The statement of the problem is game-theoretic in nature and leads directly to the Bellman - Isaacs equations. In this article, we introduce a mixed extension of the ``market'' pure strategies. Several results concerning game equilibrium are obtained.

FORECASTING HARGA SAHAM MENGGUNAKAN METODE SIMPLE MOVING AVERAGE DAN WEB SCRAPPING

The fluctuative of stock prices in a secondary market provide the possibility for investors/traders to gain profits through the difference in stock prices (capital gain). In order to obtain these benefits, it is necessary to analyze before buying shares, through fundamental and technical analysis. One of several methods in Technical Analysis is Simple Moving Average Method. This method can be used to predict (forecast) stock prices by calculating moving average of the stock price history. Historical stock prices can be obtained in real time using the Web Scrapper technique, so the results is more quickly and accurately. Using the MAPE (Mean Absolute Percent Error) method, the level of accuracy of forecasting can be calculated. As a result, the program was able to run successfully and was able to display the value of forecasting and the level of accuracy for the entire data tested in LQ45. Besides forecasting with a value of N = 5 has the highest level of accuracy that reaches 97,6 % while the lowest one is using the value of N = 30 which is 95,0 %.

An Advanced Framework to Design A Smart Store System using IoT, AI, and Data Analytics that Improves Business Processes for Micro and Small Businesses

Small and Microbusinesses struggle for their survival as they are always short of resources, clients and data to make informed decisions. Only if they knew what to sell, when to sell and whom to sell, they would not only survive but also thrive. This is where they need some help of technology like IoT and AI to take their business to the next level. IoT and AI can be used as a combination to improve various business processes for small and micro businesses. This led to the invention of a new Framework which uses IoT, AI and Data Analytics to improve business processes for various types of businesses. Let us take a service example like selling personal use stuff such as clothes, jewelry, shoes, etc. These types of businesses could use printable near field RFID tags that can be bought for as low as $0.01 each (price may go down for bulk purchases) to put on the products. This tag will carry various information like purchase history, price history, discounts, availability, etc. With the use of these tags, businesses would be able to personalize the buying experience for the customers and learning their shopping habits. This could open up greater revenue opportunities by improving the existing customer base [1][4]. In this paper, we will discuss this framework and an implementation of it in a retail world.