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This paper aims to first develop a model that analyzes how investors place orders in an order driven market. In this model, investors have different share evaluations and information is asymmetric. Private information is short-lived, and types of orders include a market order and a limit order. A market with or without bid-ask prices can influence investors¡¦ choices when submitting market orders. Hence, we discuss two kinds of market conditions in the first model. The first condition is a market with bid-ask prices, and the second is a market without bid-ask prices. Secondly, we develop an integrated model to analyze how an informed trader optimally chooses any combination of a market buy, market sell, limit buy and limit sell. In this model the informed trader observes the terminal value of a security. Then, the trader makes a choice of orders to submit under a market with bid-ask prices. As for the first model, there are some results in the first condition. At equilibrium, the optimal price of a limit order placed by an uninformed trader is related to the difference in share valuation and to adverse selection. The uninformed trader will request adverse selection risk premium, and the risk premium is related to the proportion of informed traders in the market and the value of private information. At this moment, informed traders get information benefits by submitting market orders. The information benefits are related to the difference in share valuation and the value of private information. On the other hand, we have found that informed traders will also experience adverse selection problem when placing limit orders and request risk premiums in limit prices. Informed traders¡¦ limit orders will be executed with the market orders of informed and uninformed traders who will be submitting next. The adverse selection risk of informed traders¡¦ limit orders is only related to private information value if uninformed traders don¡¦t place market orders. However, when uninformed traders submit only market orders, the adverse selection risk is related to the ratio of informed traders and private information value. From the first model, our results indicate the behaviors of informed traders who cannot submit market orders under a market with private information are short-lived like those of uninformed traders. However, we would like to know if an informed trader may submit a limit order. In the second model, in order to get information profit, the informed trader submits not only a market order, but also a limit order, even if the market has bid-ask prices and private information is not short-lived again. A combination of market-limit orders is more profitable than only a market order. In addition, limit orders enhance the profitability of market orders by reducing their losses in bad states. Finally, we obtain the result of price improvement for market orders.

The objective of the thesis is to examine the trading behaviour and characteristics of retail and institutional traders on the Australian Stock Exchange. There are three aspects of these traders that are of particular interest to this study: (1) the information content of their trades, (2) their order placement strategies, and (3) the impact of their trading on share price volatility. Trades made on the basis of private information such as those by institutional traders are found to be associated with larger permanent price changes while trades by uninformed traders such as retail traders are found to be associated with smaller changes. In addition, institutional trades are found to have smaller total price effect compared to retail trades suggesting retail traders incur higher market impact costs. In order to profit from potentially short-lived information advantage, informed traders are expected to place more aggressive orders. The analysis of the order price aggressiveness showed institutions are more aggressive than other traders. In addition, retail traders are found to be less aware of the state of the market when placing aggressive orders. The analysis of the limit order book found significant differences between the contributions of institutional and retail traders to the depth of the limit-order book, with retail standing limit orders further from the market. This is consistent with the conjecture that uninformed traders such as retail traders have greater expected adverse selection costs. The effect of trading by retail and institutional traders on price volatility are also investigated. There is some evidence that retail traders are more active and institutional traders are proportionally less active after periods of high volatility. Also, the effect of the order activity from different trader types on volatility differs depending on the measure of order activity used.

We study optimal order placement in a limit order book. By modelling the limit order book dynamics as a Markov chain, we can frame the purchase of a single share as a Markov Decision Process. Within the framework of the model, we can estimate optimal decision policies numerically. The trade rate is varied using a running cost control variable. The optimal policy is found to result in a lower cost of trading as a function of the trade rate compared to a market order only strategy. / Vi studerar optimal orderläggning i en limit orderbok. Genom att modellera dynamiken av inkommande ordrar som en Markov kedja så kan vi formula optimal orderläggning som en Markov Decision Process. Inom ramverket av modellen så kan vi skatta optimala strategier numeriskt. En löpande kostnad används som en kontrollvariabel för handelstakten av den optimala strategin. Vi finner att den optimala strategin resulterar i en lägre handelskostnad som funktion av deltagande jämfört med en marknadsorder strategi.

Bakgrund: För företag som håller lager är en viktig faktor för att lyckas öka effektiviteten att arbeta med lagerstyrning. Lagerstyrning handlar om planering och kontroll av lagret för att kunna serva kunderna och produktionen. Inom lagerstyrning är det viktigt att företag fattar beslut gällande vilken orderkvantitet som ska beställas samt när ordern ska läggas för att finnas tillgänglig på lagret vid rätt tidpunkt. Företag kan använda sig av säkerhetslager vid styrning av sitt lager för att försäkra sig om att de kan hantera osäkerheter i efterfrågan och produktion. Syfte: Syftet med studien är att utifrån analys av lagerstyrningsteori utforma en teoretisk lagerstyrningsmodell för att skapa förståelse för hur lageromsättningshastigheten kan öka. Vidare ska den framtagna modellen empiriskt appliceras på Sandviks produktionsavdelning i Svedalas aktuella artiklar för att identifiera möjliga förbättringar. Metod: Studien har genomförts som en fallstudie på Sandviks produktionsavdelning i Svedala baserat på en teoretisk framtagen lagerstyrningsmodell. Teoriinsamlingen till utformandet av den teoretiska lagerstyrningsmodellen har inhämtats via facklitteratur och vetenskapliga artiklar. Empiriinsamlingen har gjorts med hjälp av intervjuer och numerisk data. Både teori och empiri har sedan analyserats utifrån ett kvalitativt tillvägagångssätt. Avslutande kommentarer: Den framtagna teoretiska lagerstyrningsmodellen börjar med att presentera kriterier som påverkar lageromsättningshastigheten, sedan presenteras steg för att genomföra en ABC-klassificering och slutligen presenteras olika lagerstyrningsmetoder för att bestämma hur orderläggningen ska ske samt hur stortivsäkerhetslagret ska vara. Den teoretiska lagerstyrningsmodellen är pedagogisk och tydlig för att skapa förståelse hos företag om hur de kan öka sin lageromsättningshastighet. Lagerstyrningen som formades utifrån den teoretiska lagerstyrningsmodellen för Sandviks produktionsavdelning i Svedala bestod av orderläggningsmetoderna lot-for-lot, uppskattad orderkvantitet och täcktidplanering samt säkerhetslager baserat på manuella bedömningar och baserat på ledtidsförbrukningen. Med hjälp av denna lagerstyrning ska de proaktivt undvika föråldrat och långsamtgående lager i framtiden. / Background: In order to increase the efficiency for companies that keep inventory, they need to work with inventory control. Inventory control regards planning and control of the inventory to increase customer and production service. Within inventory control, it is important that companies make decisions regarding the quantity to be ordered and when the order will be added to be available in the warehouse at the right time. Companies can use safety stock to ensure that they can deal with uncertainties in demand and production. Purpose: The purpose of this study is, based on analysis of inventory control theory, to design a theoretical model of inventory control to create an understanding for how the inventory turnover may increase. Furthermore, the theoretical model will be empirically applied to Sandvik's production department of Svedala's current articles to indicate improvements. Method: The study has been made as a case study at Sandvik´s production department in Svedala, based on a developed theoretical model of inventory control. Theory collection to the design of the theoretical model of inventory control has been obtained through professional literature and scientific articles. Empirical data has been collected through interviews and numerical data. Both theory and empirical data have been analyzed from a qualitative approach. Concluding remarks: The designed theoretical model of inventory includes criteria that affect inventory turnover, the steps to implement an ABC classification and various inventory control methods to determine how the placement of orders should be implemented and the amount of safety stock that should be held. The theoretical model vi of inventory control is pedagogical and clear to create an understanding regarding how companies can increase their inventory turnover. The inventory control that was formed for Sandvik´s production department in Svedala, on the basis of the theoretical model of inventory control, consisted of the ordering methods, lot-for-lot, estimated order quantity and cover-time planning. The methods for safety stock were safety stock based on manual assessments and on lead time consumptions. With this control Sandvik´s production department in Svedala, proactively can avoid obsolete and slow moving inventory in the future