Tuesday, February 25, 2020

Analysis of Saudi Mutual Funds Regression Results Speech or Presentation

Analysis of Saudi Mutual Funds Regression Results - Speech or Presentation Example The significant predictors are MSCI Asia Equity Index, b = 0.1971, p It is also worth mentioning that the other four benchmarks namely, MSCI North America Equity Index, MSCI Europe Equity Index, Saudi Large-cap Growth Equity Portfolio Returns, Citigroup/Salomon Brothers World Money Market (one-month) Index, are not statistically significant predictors of total weekly returns. It can be interpreted to mean that whatever effect these benchmarks seemed to have on total weekly returns are not supported by any statistical evidence. Rather, these effects may simply be due to chance. In addition, the constant coefficient is also not significant. Upon closer inspection of the values of the coefficients of the twelve benchmarks, it can be observed that there are six positive predictors and two negative predictors of total weekly returns. The positive predictors are MSCI Asia Equity Index, MSCI GCC ex-Saudi Arabia Equity Index, Barclays Capital / Lehman Brothers Global Corporate Bond Index, Saudi Large-cap Value Equity Portfolio Returns, Saudi Small-cap Equity Portfolio Returns, and S & P / Goldman Sachs Commodity Index. This means that as these benchmarks become higher, total weekly returns generated by Saudi mutual funds also becomes higher. Furthermore, among these positive predictors, it can be seen that Barclays Capital / Lehman Brothers Global Corporate Bond Index has the highest effect of all, contributing

Saturday, February 8, 2020

A losed-Loop Theory of Motor Learning Term Paper

A losed-Loop Theory of Motor Learning - Term Paper Example The basic aspects must be executed properly in order to enable one to focus and direct attention to other concerns. As practice continues under proper conditions, certain changes will definitely take place. Learning is conducted through distinctive stages that start with cognitive concepts to automatic performance concepts. 1. Gliding through the ice, where this was the earliest form of ice skating. This was featured in the older types of skates that were made of bones. This allowed the skaters to glide or rather slide over the surface of the ice. The principle in gliding on the bone-made skates was possible due to the larger surface area in contact with the ice, along with the thin film of water between the skates and the ice surface. 2. Cutting into the ice, which is the modern adaptation of ice skates. These skates feature a metallic blade (mostly steel), which would then cut through the ice to a certain depth which therefore aided in motion in traversing through the ice. The sharp edges in the edge of the skates aides in moving through the ice due to the fact that the sharp edges provide low friction in moving through the ice. This method though adopted in modern ice skates, was developed between the thirteenth and fourteenth century by the Dutch. The birth of ice skating dates back to the BC era, three thousand years back. As mentioned earlier, the early forms of skates were made from bones, specifically animal bones dues to the rigidity in the structure. It was later that metal was used to replace animal bones. Animal bones along with leather were used to make skates that were known as ‘schenkel’ by the Dutch, who the early inventors or discoverers were of ice skating. Ice skating then gained major popularity in the United States of America, during the civil war era (Kleim et al. 2002).Â