Revising price history: consumer price index for Norway 1492–2018

ABSTRACT

The paper presents a new combined annual cost of living and consumer price index for Norway covering 1492–2018, indicating that Norwegian price history has to be revised. The new historical price index is constructed on a significantly richer data material, which also makes it cover a longer period of price history than the existing one. This is made possible by the compilation of quantitative data from numerous sources, mostly originating from the eighteenth, nineteenth and early twentieth centuries, with grain prices stretching back to 1492. The new combined cost of living and consumer price index is constructed by a Laspeyres approach with shifting baskets for commodities and expenditure groups.

The index makes it possible to follow annual inflation and deflation in Norway for a period of 526 years. When comparing to existing indices, the new series reveals that revisions are needed in Norwegian price history. These make the historical price development more in line with those of the neighbouring countries and more in line with the pattern of wholesale prices.     

中国木质家具出口贸易与汇率波动关系研究

木质家具是我国最重要的出口林产品之一。人民币汇率改革后,人民币总体呈升值趋势,这一趋势提高了国产木质家具的出口价格,会产生阻碍出口的作用;与此同时其也会使进口原材料价格相对降低、促进原材料的进口,二者相互作用会共同影响木质家具出口额。通过建立回归模型,研究人民币汇率波动对中国木质家具出口贸易额的影响,结果表明人民币汇率与中国木质家具出口额呈负相关,但是通过人民币贬值来促进出口的策略并不明智。     

林权流转价格及其影响因素分析

以林农拥有的活立木为研究对象,利用2007—2017年浙江省1546宗活立木流转样本,采用多元线性回归实证分析了是否在林权交易中心交易对活立木流转价格存在影响。结果表明:关键解释变量是否在林权交易中心进行交易对活立木流转价格具有显著的正向影响;流转面积、单位面积蓄积、区域虚拟变量、坡度等对流转价格都产生一定程度的影响;流转期限对流转价格的影响不大。因此,需要加强对林权交易中心的宣传,降低相关的交易成本,从而吸引更多的小规模林农参与交易。     

Does increased hedging lead to decreased price efficiency? The case of VIX ETPs and VIX futures

We examine the impact of the introduction of VIX exchange‐traded products (ETPs) on the information content and pricing efficiency of VIX futures. We document that trades in VIX futures have become less informative and that pricing errors exhibit more persistence after the introduction of VIX ETPs. In addition, we observe that the price process of the VIX futures has become noisier over time. These findings suggest that the introduction of the VIX ETPs had a prominent effect on the properties and dynamics of the VIX futures.     

On Targeting Frameworks And Optimal Monetary Policy

We show that speed limit policy, a monetary policy strategy that focuses on stabilizing inflation and the change in the output gap, consistently outperforms flexible inflation targeting and flexible price level targeting in empirical medium‐scale DSGE models under discretionary policymaking. In contrast to small‐scale New Keynesian models, this welfare ranking of the targeting frameworks is not overturned when inflation dynamics are mostly backward‐looking. Importantly, the performance of the speed limit policy shows less sensitivity to its parameterization than other frameworks that target the inflation rate or the price level.     

Was It Possible to Stabilise the Price of Wool? Organised Wool Marketing 1916 to 1970

Wool is the only Australian commodity for which there has been an attempt to organise price stability through a buffer stock scheme (1970–91). Growers pressed for the introduction of a scheme since the early 1920s. We test the veracity of claims that the sale of the stockpiles optimised growers' returns. We also simulate the likely outcomes of the reserve price schemes (RPS) proposed in 1925 and 1952, respectively. Our findings are that post-war stockpile disposals did not optimise wool growers' incomes, the undercapitalised proposed RPS of the 1920s would have collapsed in the depression, and that the post-1952 RPS would have been in considerable difficulty.     

Labor and behavior determinants of remittances in Saudi Arabia

Saudi Arabia is the second largest sender of international remittances. These remittances constitute large foreign capital inflows to labor‐exporting remittee economies. This study is the first to structurally decompose remittance dynamics into behavioral and labor market outcomes of migrants. Remittance outflows are decomposed into migrant labor supply, unemployment and participation rates, wage earnings, and the marginal propensity to remit (MPR) out of migrant earnings. The estimates suggest that migrant labor supply is highly elastic. The important driver of remittance dynamics is the MPR, migrant wages, and the labor supply of migrants. The MPR is found to respond counter‐cyclically to foreign gross domestic product.     

The impact on stock prices of deferral and elimination of internal control audit requirement for small firms

This paper examines the cumulative market reaction to the events related to deferral of internal control audit requirement under the Sarbanes-Oxley Act of 2002 and its elimination under the Dodd-Frank Act of 2010 for nonaccelerated filers (small firms). We document that small firms experienced negative cumulative abnormal returns around these events; and the differences between the cumulative abnormal returns for small firms and the two control groups (accelerated and large accelerated filers) were negative and significant at the 1% level. These results support the notion that market participants value the reliability of financial information irrespective of the firm size. Within the small firms, we find no firm characteristic significantly explains the market reaction to the events considered. That is, all small firms lost market value in reaction to the events that delayed and eliminated their internal control audit requirement.     

Data vs. information: Using clustering techniques to enhance stock returns forecasting

This paper explores the use of clustering models of stocks to improve both (a) the prediction of stock prices and (b) the returns of trading algorithms.We cluster stocks using k-means and several alternative distance metrics, using as features quarterly financial ratios, prices and daily returns. Then, for each cluster, we train ARIMA and LSTM forecasting models to predict the daily price of each stock in the cluster. Finally, we employ the clustering-empowered forecasting models to analyze the returns of different trading algorithms.We obtain three key results: (i) LSTM models outperform ARIMA and benchmark models, obtaining positive investment returns in several scenarios; (ii) forecasting is improved by using the additional information provided by the clustering methods, therefore selecting relevant data is an important preprocessing task in the forecasting process; (iii) using information from the whole sample of stocks deteriorates the forecasting ability of LSTM models.These results have been validated using data of 240 companies of the Russell 3000 index spanning 2017 to 2022, training and testing with different subperiods.